Introduction:
I started my career in January 2008 as an Oracle Developer, where I built my foundation in database design, development, and performance tuning. In 2019, I moved into the PostgreSQL world and it’s been my primary focus ever since. Today I specialize in migrating databases from Oracle and SQL Server to PostgreSQL, having worked on several end-to-end and partial migration projects covering schema conversion, data migration, and application changes. My work also extends beyond the database itself, I have hands-on experience with DevOps tools and running workloads on Amazon EKS, which helps me approach migrations from an end-to-end delivery perspective. Within the community, I’m active as a speaker and technical blogger, sharing what I learn along the way and helping others on their own migration journeys.
Journey in PostgreSQL`
My journey began in 2019. After more than a decade working with Oracle, I started taking on database migration projects where the target was PostgreSQL. What began as learning a new database for a specific project quickly turned into genuine enthusiasm. The more I worked with PostgreSQL, its open-source nature, rich feature set, and the strength of its community, the more I wanted to go deeper. It didn’t take long for it to become the center of my work.
Can you share a pivotal moment or project in your PostgreSQL career that has been particularly meaningful to you?
One of the most meaningful experiences has been working on complex Oracle- and SQL Server-to-PostgreSQL migrations, both full and partial. For the partial migrations, doing dependency-level analysis at the source was key: understanding how objects relate to one another let me carve out and move the right pieces safely without breaking the rest of the system. On the SQL Server side, I ran into some genuinely tricky problems, migrating case-insensitive collation databases, handling cross-database and linked server procedure calls, and working around culture/locale-specific behavior in PostgreSQL. Solving these, along with Oracle-specific conversions like hierarchical (CONNECT BY) queries, collections, and UTL_FILE operations, and then turning them into blogs and sessions for others, has been one of the highlights of my career.
Contributions and Achievements:
I‘ve contributed mainly through knowledge sharing. As a speaker, I’ve delivered sessions on PostgreSQL transactions, the pgml extension, and building AI agents using PostgreSQL. As a writer, I’ve published blogs on converting hierarchical queries to PostgreSQL, handling external tables and UTL_FILE operations, and migrating Oracle collections. I also authored an AWS public guide on managing PostgreSQL maintenance activities. Beyond the database layer, my experience with DevOps tooling and Amazon EKS has helped me contribute a more holistic, deployment-aware view of migrations. I’m proud that these resources help practitioners tackle real migration problems end to end.
(II) Have you faced any challenges in your work with PostgreSQL, and how did you overcome them?
Migrations always come with challenges, especially around features that don’t map one-to-one across Oracle, SQL Server, and PostgreSQL. On the Oracle side, that meant hierarchical queries, collections, and file handling. On the SQL Server side, some of the toughest problems were migrating case-insensitive collation databases, handling cross-database and linked server procedure calls, and working around culture/locale-specific differences. Partial migrations added another layer, since I had to perform detailed dependency-level analysis at the source to decide exactly what could be moved without disrupting the rest of the system. I overcame these by digging into PostgreSQL’s documentation, experimenting with different approaches (like using appropriate collations, extensions, and refactoring cross-database calls to fit PostgreSQL’s model), leaning on the community, and testing thoroughly. My DevOps and EKS background helped with the infrastructure and deployment side. Once I found reliable patterns, I documented them so the next person, and my future self, wouldn’t have to start from scratch.
Community Involvement:
I engage with the community mainly as a speaker and a technical blogger. I’ve delivered sessions on topics like PostgreSQL transactions, the pgml extension, and building AI agents using PostgreSQL, and I regularly participate in community events such as PGDay and PGHyd. Writing blogs on practical migration topics, hierarchical query conversion, collection migration, external tables and UTL_FILE handling, is another big part of how I stay connected and give back. For me, sharing real-world migration experience is the most useful way to contribute, because it helps others who are working through the same problems.
(II) Can you share your experience with mentoring or supporting other women in the PostgreSQL ecosystem?
I try to support others by sharing knowledge openly and making complex topics approachable, whether that’s through my blogs, my sessions, or one-on-one conversations. I’ve found that a lot of people, women especially, hesitate to contribute because they feel they need to be experts first. I like to encourage them to start where they are, ask questions, and share what they know. Being visible as a woman working on challenging database migrations and speaking at community events is itself a way of showing others that there’s a place for them here too.
Insights and Advice:
Build a strong foundation in database fundamentals, those concepts carry across every platform and will serve you no matter how technology shifts. Be curious and don’t shy away from the hard problems, because that’s usually where the most growth happens. With PostgreSQL specifically, take full advantage of its open-source nature: read the documentation, experiment freely, and lean on the community. And when you learn something, share it. Teaching others is one of the fastest ways to deepen your own understanding and build confidence. Most importantly, don’t wait until you feel “ready” to speak up or contribute, that moment rarely comes on its own.
(II) Are there any resources (books, courses, forums) you’d recommend to someone looking to deepen their PostgreSQL knowledge?
The official PostgreSQL documentation is genuinely one of the best resources available and worth reading closely, it’s thorough and well maintained. Beyond that, the PostgreSQL mailing lists and community events like PGDay PWI events and PGHyd are excellent for learning directly from experienced practitioners. I’d also recommend following community and vendor blogs (including AWS guides) for real-world migration and operational patterns. But nothing replaces hands-on practice, setting up your own PostgreSQL environment and experimenting is the fastest way to learn.
Looking Forward:
I’m especially excited about the intersection of PostgreSQL and AI/ML. Extensions like pgml and the growing use of PostgreSQL for building AI agents open up a lot of possibilities, and it’s exciting to see a mature, reliable database evolve into a platform for modern AI workloads. I’m also keen on the continued improvements that make migrations from Oracle and SQL Server smoother, since that’s so close to my day-to-day work.
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(II) Do you have any upcoming projects or goals within the PostgreSQL community that you can share?
I want to keep sharing knowledge through more sessions and blogs, particularly around migration best practices, the tricky SQL Server and Oracle conversion challenges, and the AI/ML side of PostgreSQL. My broader goal is to make complex migrations feel less intimidating and to encourage more people, especially women, to get involved and contribute to the community.
Personal Reflection:
It means being part of something open, collaborative, and generous. The PostgreSQL community shares knowledge freely and genuinely welcomes newcomers, and being able to both learn from it and give back has been one of the most fulfilling parts of my career. It’s a community that rewards curiosity and participation, which keeps me motivated to keep growing.
(II) How do you balance your professional and personal life, especially in a field that is constantly evolving?
I focus on steady, continuous learning rather than trying to absorb everything at once, that keeps me current without burning out. I also treat my community work, writing and speaking, as something I genuinely enjoy rather than an extra obligation, so it energizes me instead of draining me. Setting clear boundaries, staying organized, and being intentional about how I spend my time help me keep work and personal life in balance.
Message to the community
To the women in and around this community: your perspective and your skills matter, and there is absolutely room for you here. Don’t wait until you feel like an expert to contribute, start where you are, ask questions, share what you learn, and support one another. PostgreSQL has given me a place to grow, learn, and connect with wonderful people, and I’d love to see more women find that same opportunity and thrive in it.
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.
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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.