Introduction:
My PostgreSQL journey started around 2016, when I joined Data Egret, a PostgreSQL consultancy, and quickly found myself drawn not just to the technology but to the people behind it. Over six years of active community involvement, that pull has only grown stronger — and I’m proud to have been recognised by the community as a Significant Contributor.
Along the way I’ve taken on roles that let me give back in different ways: serving on the PgUS User Group Committee (including two years as Chair), and being part of the task force that launched the PostgreSQL Europe Diversity Committee — a project that felt particularly meaningful to me.
These days I’m a member of the Postgres Funds Group and have been co-organising PGConf.EU since 2024. I’ve also been involved in pgDay Paris and PGConf.DE as both an organiser and programme committee member. Most recently I joined the co-founding team behind the Open Alliance for Postgres Education and the PostgreSQL Europe Advocacy Task Force — because after 30 years, Postgres still has so much room to grow, and I want to be part of bringing it to communities that haven’t fully embraced it yet.
Journey in PostgreSQL`
I joined Data Egret almost ten years ago, and that was my entry point into both PostgreSQL and the IT industry. But it wasn’t my first experience of a close-knit technical community. Before that I spent close to 15 years working with researchers and medics, and I was struck by how much the two worlds have in common: that same curiosity, and that same openness to discussing everything and anything.
What really sealed it for me was attending my first PostgreSQL conference, PGConf.EU 2016 in Tallinn. I was completely captivated by the energy of the community, and I think that’s the moment I knew I wanted to be part of it in a more active way.
Can you share a pivotal moment or project in your PostgreSQL career that has been particularly meaningful to you?
It’s hard to point to a single pivotal moment. To me, the PostgreSQL community feels like an endless patchwork, with each person I work closely with adding a new and colourful patch to it. That’s what makes the journey so rich.
That said, one of the highlights to date was attending PGConf.dev just a few weeks ago. It’s a different kind of conference from the user-focused events I’d attended before; it’s really about the community itself and how it grows and develops. I met people I’d worked with remotely but never seen in person, reconnected with people I hadn’t seen in a while, and found myself surrounded by content and conversations that made me want to do more. There’s something about being in a room full of people who care so deeply, not just about the technology but about each other and about PostgreSQL’s future, that feels absolutely captivating. I left full of drive, energy and excitement, with a sense of belonging that is hard to put into words. learning experience.
Contributions and Achievements:
You can find full list of my community contributions at https://www.linkedin.com/in/valeriakaplan/details/volunteering-experiences/
(II) Have you faced any challenges in your work with PostgreSQL, and how did you overcome them?
In the beginning I found it a bit challenging to navigate the community and understand the roles of the different committees and entities that make up the PostgreSQL ecosystem. But as I talked to more people and met new ones, I gradually found my way through it.
What really helped me consolidate that knowledge was preparing a talk on the topic. I had built up a picture of how the community operates through conversations and interactions, but when I had to put it into slides I was forced to properly structure what I had learned. That process of turning experience into something teachable is what truly sealed my understanding. The talk, “Elephant in a Nutshell: Navigating the Postgres Community 101,” was first presented at PGConf.EU 2023 and I gave it again at pgDay Paris 2024, which felt like a sign that it resonated with others who were finding their own way into the community.
Community Involvement:
I engage with the PostgreSQL community on a daily basis by contributing design inputs to ongoing features in logical replication. I also actively review and validate patches end-to-end to ensure they meet high quality standards before being committed.
(II) Can you share your experience with mentoring or supporting other women in the PostgreSQL ecosystem?
The PostgreSQL community has done a lot in recent years to diversify, and that work matters. At the same time, the number of women is still relatively small, so we hold on to each other. Over the years I’ve been approached by different women in the community for help and advice, and while I wouldn’t necessarily call it mentorship, I think of it more as being a good citizen: reassuring and empowering the people around you.
In practice that looks like many different things. Sometimes it’s walking someone through the steps of organising a local user group, or encouraging someone to put themselves forward for a programme committee. Sometimes it’s simply making an introduction or connecting two people who should know each other. None of it is formal, but I think that’s the point. The most meaningful support often happens in the margins of a conference or in a quiet conversation, not only through a structured mentorship programme.
Insights and Advice:
My advice to women entering technology and PostgreSQL is the same as I would give to anyone wanting to get active in the community: do more than you think you can, expect less than you want, and find joy in the process.
(II) Are there any resources (books, courses, forums) you’d recommend to someone looking to deepen their PostgreSQL knowledge?
There are many great resources depending on your goals and skill level. The official PostgreSQL documentation is an excellent starting point and genuinely one of the best-written resources in the open source world, and it is worth spending time with even if you consider yourself a beginner.
For books, the PostgreSQL community maintains a library of titles written by authors from within the community, covering a wide range of topics and skill levels. You can find the full list at postgresql.org/docs/books.
If your goal is to get closer to PostgreSQL development itself, I’d recommend subscribing to the pgsql-hackers mailing list. It gives you a real window into how the project develops, how the Commitfest process works, and how patches move through the community. For those who want to go further and contribute code, Robert Haas runs a mentorship programme specifically for code contributors, which is a wonderful resource for anyone taking their first steps in that direction. You can find out more at rhaas.blogspot.com/2024/06/mentoring-program-for-code-contributors.html.
And of course, the PostgreSQL community itself is a resource. People are generally open, welcoming and happy to answer questions, whether that’s at a conference, in the community Slack, or on the mailing lists.
Looking Forward:
Technologically, AI is one of the biggest challenges and opportunities, while expanding beyond the usual PostgreSQL audience and bringing in fresh contributors is the organizational challenge I think about most. I foresee a lot of good work being put forward by the many dedicated and smart people who are currently standing at the steering wheel of the community. We got this far in 30 years, and I believe we can go much further in the next 30.
(II) Do you have any upcoming projects or goals within the PostgreSQL community that you can share?
The two big things on my horizon for the coming year are the launch of the first PostgreSQL certification through the Open Alliance for Postgres Education, and working with the PostgreSQL Europe Advocacy Task Force on building connections with developer communities that haven’t fully embraced PostgreSQL yet. Both feel like meaningful steps forward and I’m excited to be part of them.
Personal Reflection:
It means belonging to something bigger than yourself, built by people who genuinely care: about the technology, about each other, and about what comes next.
(II) How do you balance your professional and personal life, especially in a field that is constantly evolving?
Sometimes life lifts you up when community work feels overwhelming, and sometimes the community is what lifts you up when you face personal challenges. That, to me, is the real balance.
Knowing that there are people who are there for you in happiness and in sadness, and knowing that you are the person they will seek out to share their ups and downs.
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.