Introduction:
Hello, I’m Elly and I work at Marketing in DBtune, an AI-powered optimizer for PostgreSQL database configurations. I spent over a decade working in journalism, communications and marketing, covering topics from cybersecurity to cloud computing. This focus is also why I authored the book, Decode PostgreSQL, which aims to make the technology accessible to non-technical professionals.
Within the PostgreSQL community, I focus on the ‘people’ part of the equation. I’m one of the organizer for the Malmö PostgreSQL User Group (M-PUG) in the Nordics, where our goal is to create inclusive, high-energy spaces for learning and connection.
Journey in PostgreSQL
My journey into the PostgreSQL world was a little unconventional, I wasn’t a DBA or a developer, but a communicator. After working in Singapore for 10 years, I moved to Sweden to complete my Master’s degree, and got my first full-time position at DBtune. My role required me to quickly get up to speed on learning about Machine Learning and PostgreSQL. Through this period of learning, I had a revelation: I realized this technology was powered by a thriving open-source community, an entire ecosystem. I realized there was a huge, underserved audience of smart non-technical people who needed to understand this technology without having to learn SQL. That gap inspired my work, including writing the book Decode PostgreSQL, to function as the in-between between the genius engineers and the rest of the business world. My involvement evolved from appreciating the tech to actively working to make it accessible to the world.
Can you share a pivotal moment or project in your PostgreSQL career that has been particularly meaningful to you?
The first was founding the Malmö PostgreSQL User Group, M-PUG with Luigi Nardi, Daniel Gustafsson and Dennis Rilorin. We noticed a concentration of brilliant database talent but no dedicated local meetup. Starting M-PUG from scratch and seeing it grow into a vibrant space as we bring in international speakers every 6-8 weeks has been incredibly meaningful. It reinforced my belief that community is the essential ‘performance tuning’ for open-source.
The second moment was giving my first talk at a major PostgreSQL conference on the subject of ‘Tuning Community Parameters.’ It was a massive step to move from communicating about tech to sharing strategy with the tech community itself. Receiving positive feedback confirmed that my unique background, focused on strategy, narrative, and human systems, was genuinely valuable to a community traditionally defined by code. On that note, I must sincerely thank DBtune for their support and commitment to sponsoring my time and travel to attend events like this is a fantastic example of a company investing directly in the human infrastructure of the PostgreSQL ecosystem.
Contributions and Achievements:
There is the Decode PostgreSQL book. I’m incredibly proud that it provides a jargon-free bridge for business leaders and product people, allowing a whole new audience to understand and advocate for this powerful technology without having to write a single line of code. This led to my talk ‘Explaining PostgreSQL like I’m Five (or 85),’, which underscores the belief that the quality of our code is inseparable from the quality of our communication.
DBtune’s work in marketing for DBtune has been a significant contribution to the broader ecosystem. Our efforts focus on explaining why AI-powered tuning is essential to the sustainability of the PostgreSQL database. Traditional parameter tuning is highly manual, complex, and prone to human error, a major drain on DBA time. By highlighting how DBtune’s machine learning autonomously optimizes performance, we champion a critical conversation about making Postgres operations more efficient and accessible.
Third is the work I presented on the neuroscience and psychology of community belonging. After running a community belonging survey, I realized the biggest barrier to participation isn’t technical skill; it’s the fear of looking stupid or being excluded. My talks, like ‘Postgres and People: The Neuroscience of Why We Stick Around,’ gave the community data-backed tools to consciously build a safer, more ‘sticky’ environment.
(II) Have you faced any challenges in your work with PostgreSQL, and how did you overcome them?
The process of writing Decode PostgreSQL was a profound masterclass in overcoming imposter syndrome and prioritizing discipline over motivation, over fleeting inspiration; it was often a lonely, relentless act of will.
This resilience, which taught me the power of showing up even when I felt inadequate, prepared me for the emotional weight of the other major challenge: the raw, sometimes painful, feedback from the community belonging survey. Seeing that newcomers felt intimidated or excluded was heartbreaking, as it pointed to a gap in our ‘social code.’ I channeled that emotional energy into a positive, actionable response, transforming the data into the ‘Micro-Inclusion Toolkit’ to consciously improve the welcoming environment of the community.
Community Involvement:
My engagement revolves around my core mission of strengthening the human infrastructure of open source, which breaks down into four main pillars:
Community Building: I, along with other organizers, create regular, welcoming spaces for enthusiasts in the Nordics to connect, learn, and collaborate at Malmo PostgreSQL user group.
Content Translation and Accessibility: This includes authoring the book, Decode PostgreSQL, to make the technology understandable to business and non-technical professionals.
Cultural Advocacy and Research: My work on the neuroscience and psychology of community belonging led to my talks on strengthening our ‘social code’ for better retention.
Marketing at DBtune: Together with my team, we champion conversations about the sustainability and future of PostgreSQL operations, particularly how AI-powered tuning can help DBAs and developers work more efficiently.
(II) Can you share your experience with mentoring or supporting other women in the PostgreSQL ecosystem?
My approach is less about formal mentorship and more about active advocacy, creating structures for inclusion, and leading by example.
My visibility as a non-technical professional, minority race and gender in Europe (and even being the shortest person in the room and on stage!) speaking at major conferences is a form of support in itself. By showing up authentically as myself, sharing my unique strategic insights, I demonstrate that the community needs and values diverse skill sets beyond writing code.
The work I do on community culture directly addresses the barriers women and other underrepresented groups face. The Micro-Inclusion Toolkit, built from my survey data, gives everyone, regardless of gender, practical tools to reduce social pain and foster psychological safety, the fundamental requirement for anyone to contribute.
Insights and Advice:
I highly recommend seeking out positive, visible role models. Seeing women bring a creative edge to non-technical roles shifted my perception of what’s possible. For me, connecting with incredible leaders like Cornelia Biasics of CYBERTEC, Valeria Kaplan of Data Egret, Gulcin Yildirim Jelinek of Xata, Stacey Haysler of PGX, Priyanka Chatterjee of Schwarz, Floor Drees of EDB, provided that essential sense of validation and inspiration.
You should also actively join your communities. Don’t just be a passive member. Get involved with groups like the Postgres Women India, Telegram channels, participate in diversity committees. These spaces are invaluable for finding support, collaboration, and psychological safety.
Finally, embrace your creative side. I’ve always been a little bit of a rebel, which means, I’m not always conventional. I moved halfway across the world in the middle of my career and came into this highly technical community saying, ‘I’m going to write a book about the database without writing any code.’ In a professional sense, this means having the confidence to challenge the status quo, bringing your non-traditional skills to the table, and realizing that your unique perspective is your superpower in a technical world.
(II) Are there any resources (books, courses, forums) you’d recommend to someone looking to deepen their PostgreSQL knowledge?
Decode PostgreSQL (My Book): I have to start here! If you are a product manager, marketer, executive, or even a new developer trying to understand the “why” of the database without diving into code, this book is built for you. It uses metaphors and simple language to bridge the knowledge gap.
Explaining PostgreSQL like I’m Five (or 85): This resource, from my talk at pgDay UK, is great for internal communication. It teaches you metaphors and frameworks for translating complex terms like “indexing” and “query plans” into language your whole team, from the CEO to the newest analyst, can understand.
PostgreSQL Administration Cookbook (By Simon Riggs, et al.): Once you understand the why from my book, this cookbook provides the hands-on reference for the how. It’s a foundational resource for understanding the practical tasks your DBAs or DevOps team execute daily in a production environment.
Generative AI for Web Development (By Emma Saroyan and Tom Auger): PostgreSQL is the data backbone for many new AI apps (often using extensions like pgvector). This shows web developers how to build AI-powered apps with Next.js and OpenAI, giving them the context to understand why they need a reliable database like Postgres.
Looking Forward:
I’m excited by anything that lowers the barrier to entry and increases operational sustainability. On the core technology side, the developments coming in PostgreSQL 18 are pushing the boundaries of what the database can achieve. There’s exciting work around enhanced parallelism, more efficient vacuum processes, and better native support for emerging data types and SQL standards.
Another development is at DBtune where we are deeply focused on developing Workload Fingerprinting. This is a scientific method designed to stop the endless cycle of chasing performance ‘ghosts’—those unpredictable alerts and slowdowns caused by noisy data. This helps them to prioritize efforts and transform performance tuning from a subjective art into a precise science. It will not only make databases more efficient, but also the lives of the people running it significantly easier and effective. As I outlined during my lightning talk at PGDay Napoli, . it’s time for us to become ‘Ghostbusters’ in the database world, going after the underlying slime in the workload.
(II) Do you have any upcoming projects or goals within the PostgreSQL community that you can share?
The first is centered on content accessibility. I’ll start working on Version 2 of Decode PostgreSQL, incorporating the newest features and insights from the community. I want to get the book listed on platforms like Amazon and ramp up the promotion to reach a far wider audience of professionals who need that foundational knowledge. More ambitiously, I plan to turn Decode into a series that translates other complex technical fields, such as Machine Learning and Cybersecurity.
I also want to deepen cultural advocacy. I want to expand on my initial community belonging research, move from a survey-based assessment to a more in-depth cultural analysis. The goal is to move beyond simply identifying the challenges of inclusion and start creating more refined, scalable frameworks to improve the ‘social code’ of open source. It’s about ensuring the human infrastructure of PostgreSQL is as resilient, high-performing, and welcoming as the database itself.
Personal Reflection:
Being part of the PostgreSQL community is about so much more than the code or the technology—it’s about belonging to a global, decentralized ecosystem that is fundamentally human.
The community represents a powerful collective intelligence where diverse skill sets are not just tolerated, but celebrated. It’s where I was able to transform my background as a journalist and a strategist into a unique contribution: bridging the gap between deep technical innovation and the people who need to use it.
I also get to be part of a movement dedicated to sustainable, collaborative growth. It’s where I found my mission: building the ‘social code’ that ensures we don’t just innovate technically, but also create the safety and culture required for the next generation of contributors, regardless of their background, to thrive.
(II) How do you balance your professional and personal life, especially in a field that is constantly evolving?
I try to actively protect my time. While I’m fully committed to my work, I’ve learned that temporary disconnection is the key to sustainable performance. I am an avid Latin dancer and I also do calisthenics. Most of my classes are after office hours and I tell myself to temporarily disconnect during those blocks. These activities are like meditation for me; they reset my mind, and when I get back, I come back sharper, more focused, and more creative. As Brené Brown says, ‘Daring to set boundaries is about having the courage to love ourselves, even when we risk disappointing others.’ That quote has been key to me in maintaining my long-term sustainability.
I also place a huge emphasis on prioritizing friends and family. As an Asian, there is an ingrained sense of duty and community in our culture. Success isn’t just professional; it’s communal. Making time to nurture those relationships is non-negotiable. It’s what keeps me grounded and provides the emotional resilience needed to tackle the highly dynamic tech world.
Message to the Community:
To the entire PostgreSQL community: We’ve mastered the source code, but let’s now master our social code. We must actively ensure that our community is inclusive and safe enough for every talented person to contribute. Let’s champion the non-code work—the teaching, the organizing, the translating—that makes our technology sustainable.
And to the women who are here or who aspire to join: Your unique skill set is your superpower. Whether you’re a developer, a student, or in business functions, we need your perspective. Don’t feel pressured to conform to one mold. And crucially, remember to embrace your inner rebel. This difference is a strength. Women often excel in areas like systems thinking, collaborative problem-solving, and empathetic communication, which are crucial for high-functioning teams and open-source communities. We are stronger because you are here, ready to challenge the status quo and help us grow
Talk Title: PostgresML: Revolutionizing Machine Learning with SQL
In today’s data-driven world, organizations often struggle with complex machine learning infrastructures and data movement challenges. This talk introduces PostgresML, a game-changing PostgreSQL extension that brings machine learning capabilities directly into your database. We’ll explore how PostgresML enables developers and data teams to perform sophisticated ML operations using familiar SQL commands, eliminating the need for separate ML systems. Through live demonstrations, we’ll showcase practical implementations of model training, real-time predictions, and GPU acceleration features. Whether you’re a database engineer, ML practitioner, or technical lead, you’ll learn how to leverage PostgresML to simplify your ML pipeline, enhance security, and accelerate deployment. Join us to discover how this innovative tool is bridging the gap between traditional database operations and modern machine learning workflows.
Talk Title: Developers are decision-makers now. DevRel gets you there faster
DevRel as a role has existed since the 1990s, yet it remains one of the least understood roles in tech. Whether due to changing definitions, role titles, or evolving industries, DevRel has transformed significantly over the past few years—yet it continues to shape the devtool landscape. Since 2023, we’ve seen explosive AI growth alongside a surge in tech companies and technical talent. But who reaches these developers? Developers distrust traditional marketing. Who builds the samples, docs, tutorials, and SDKs they rely on? DevRel has become more critical than ever, especially as developers increasingly become decision-makers. In this talk, we’ll explore what DevRel is, how it drives impact, and how you can build an effective DevRel program.
Talk Title: DPDPA(Digital Personal Data Protection Act) Unleashed – Why It Matters for Women in Data
India’s Digital Personal Data Protection Act (DPDPA) is reshaping how organisations collect, store and use personal data, with a phased, 18‑month rollout. This presentation explores what’s in policy and law, then dives into what it unlocks for careers in data, security and consulting—especially for women. As data architect ,designing database architectures, will try connect legal constructs (Data Principals, Fiduciaries, Consent Managers, the Board) to real-world data and database practices, and show how DPDPA can be a powerful career accelerator, not just a compliance requirement.
Talk Title: Where Technology Meets Customer Needs: Lessons from a Newbie Solutions Engineer
When I stepped into the world of open-source databases as a Solutions Engineer, I expected to feel overwhelmed, but I found a role that made surprising sense. In this talk, I’ll share my journey navigating PostgreSQL with the help of modern cloud platforms like Aiven and DigitalOcean, tuning tools like DBtune, and migration partners like Hexacluster. This isn’t a deep-dive into internals, it’s a practical, beginner-friendly session to reducing the friction of managing PostgreSQL in real-world environments. Along the way, I’ll highlight the often-overlooked role of a Solutions Engineer: the human bridge between customer needs and engineering solutions. If you’re a student, a DBA, a DevOps engineer or just Postgres-curious, you’ll walk away with not only tools to explore, but also a career path to consider.

Talk Title: Architecting Ethical and Responsible AI with PostgreSQL 18
Have you ever developed an Agentic AI application using an agentic framework such as langGraph and pgai extension and noticed you don’t get good results during testing or the results are biased towards a demographic. You don’t know what to do. Organizations developing Agentic AI applications using an agentic framework such as LangGraph and pgai extension often encounter issues during implementation and testing, including suboptimal performance or bias in results such as demographic bias. Identifying the root causes of these issues can be difficult without proper tools and methodologies. This session addresses these challenges by introducing Responsible AI interpretability and explainability techniques. Participants will learn how to understand and trace the model’s decision-making process, enabling them to identify why specific results are generated. These capabilities are essential for meeting compliance requirements in regulated sectors, including banking and insurance. Attendees will gain practical knowledge on building Agentic AI applications that incorporate Responsible AI principles, ensuring transparent, accountable, and fair outcomes.
Rumi ![]()
Talk Title: New features of PostgreSQL 18
PostgreSQL 18 continues the PostgreSQL project’s long-standing focus on performance, scalability, reliability, and developer productivity, building incrementally on the improvements delivered in PostgreSQL 15–17.
Rather than introducing disruptive changes, PostgreSQL 18 is expected to emphasize refinement and maturity across core subsystems such as query execution, indexing, concurrency, replication, and observability, making PostgreSQL even more suitable for enterprise-scale and cloud-native workloads.
Talk Title: Platform Engineering Unpacked: Architecture, Evolution, and Hard-Won Lessons
The way engineering teams build and deliver software has changed dramatically. We’ve moved from manual server setups to automated pipelines, from ticket-based operations to self-service workflows, and from siloed teams to platform-driven organisations. This shift gave rise to Platform Engineering, a discipline focused on creating the internal systems, golden paths, and tooling that empower developers to move faster with less friction.
In this session, I’ll walk through the evolution that brought us here and why Platform Engineering has become a strategic priority across industries. I’ll share the architecture patterns that define successful platforms, how self-service emerges as a core capability, and the practical dos and don’ts learned from building real-world internal platforms.
Attendees will gain a clear understanding of:
Why DevOps wasn’t enough, and what Platform Engineering solves
The natural evolution from scripts → automation → abstractions → platforms
What makes a good platform (and what absolutely doesn’t)
How to design developer-centered systems and golden paths
My firsthand lessons from enabling engineering teams at scale
This talk gives a foundational, experience-driven view of what Platform Engineering really means today and how teams can start their journey the right way.
Our idea explores the implementation of AI-driven query optimization in PostgreSQL, addressing the limitations of traditional optimization methods in handling modern database complexities. We present an innovative approach using reinforcement learning for automated index selection and query plan optimization. Our system leverages PostgreSQL’s pg_stat_statements for collecting query metrics and employs HypoPG for index simulation, while a neural network model learns optimal indexing strategies from historical query patterns. Through comprehensive testing on various workload scenarios, we will validate the model’s ability to adapt to dynamic query patterns and complex analytical workloads. The research also examines the scalability challenges and practical considerations of implementing AI optimization in production environments.
Our findings establish a foundation for future developments in self-tuning databases while offering immediate practical benefits for PostgreSQL deployments. This work contributes to the broader evolution of database management systems, highlighting the potential of AI in creating more efficient and adaptive query optimization solutions.
This talk provides an introductory overview of Artificial Intelligence (AI) and Machine Learning (ML), exploring key concepts and their application in building intelligent systems. It will highlight the essential AI/ML techniques, such as supervised and unsupervised learning, and discuss practical use cases in modern industries. The session also focuses on how PostgreSQL, with its powerful extensions like PostgresML, TimescaleDB, and PostGIS, supports the development of AI-powered applications. By leveraging PostgreSQL’s ability to handle complex datasets and integrate machine learning models, participants will learn how to build scalable, intelligent solutions directly within the database environment.
Success is a multiplier of Action, External Factors and Destiny.
Out of these three, the only controllable aspect is our action. Again, action is the result of our EQ, IQ, SQ, and WQ (Willingness Quotient) together.
We all want to be successful and keep trying to motivate ourselves with external factors. We read inspirational books, listen to great personalities, and whenever possible upgrade ourselves with more knowledge and the list goes on.
Indeed these are excellent motivators, but in this process, we forget the most important source of energy, YOU!
We read other stories to feel inspired, thinking “I am not enough!”
But, the day we start accepting ourselves, introspect, understand, and align our life purpose with our routine, we find the internal POWER. This is a continuous source of motivation and energy which we need at down moments. When we feel, lonely, stuck and seek help, our inner voice is the greatest companion.
But, how many times do we consciously think about our “Subconscious”?
“Journey to Self” is our structured coaching program where we take back focus from the outside and delve deep inside to find our inner strength. Focusing on self-acceptance and personal growth
I believe everyone has POWER within them!
Let’s be the POWERHOUSE!
Human, AI, and Personalized User Experience for DB Observability: A Composable Approach
Database users across various technical levels are frequently frustrated by the time-consuming and inefficient process of identifying the root causes of issues. This process often involves navigating multiple systems or dashboards, leading to delays in finding solutions and potential downstream impacts on operations.
The challenge is compounded by the varying levels of expertise among users. It is essential to strike the right balance between specialized and generalized experiences. Oversimplification can result in the loss of critical information, while an overwhelming amount of data can alienate certain users.
Developers and designers are constantly navigating these trade-offs to deliver optimal user experiences. The integration of AI introduces an additional layer of complexity. While AI can provide personalized experiences within databases, it is crucial to maintain user trust and transparency in the process.
The concept of personalized composable observability offers a potential solution. By combining the strengths of human expertise, information balance, and AI-driven personalization, we can create intuitive and user-friendly experiences. This approach allows users to tailor their observability tools and workflows to their specific needs and preferences.