I am an IT Professional who has managed a range of PostgreSQL projects across diverse geographies since the year 2012. Throughout my career, I have held multiple roles, including PL/SQL Developer, Oracle to PostgreSQL Migration Expert, Database Lead, PostgreSQL Database Administrator, Corporate Trainer, PostgreSQL Developer, and many similar roles.
I regularly participate in pgConf India, where I’ve also delivered lightning talks. I frequently write blogs about PostgreSQL and co-authored a book titled “PostgreSQL for Jobseekers,” published in June 2023. Additionally, I have developed a LinkedIn Learning course called “PostgreSQL Backup Tool – pgBackRest,” that got launched in April 2024. Currently, I am serving on the Code of Conduct committee in the PostgreSQL Community for the 2024-25 period.
Data and databases have been the area of my interest since my University days. In 2012, a project lead at my company wanted to conduct a proof of concept (PoC) for PostgreSQL. At that time, Oracle was dominant, and many were hesitant to consider migrating from Oracle to PostgreSQL due to fears of switching to a less popular database. As a recent graduate eager to work with any database, I seized the opportunity and requested to take on the task. Initially, they were hesitant because I had no prior database experience, but with limited options, they agreed.
I was assigned a government project containing complex DB code with various Oracle-specific features like UTL_FILES, CONNECT BY PRIOR, triggers, MERGE Statements and what not. Converting certain aspects of the code proved challenging, as there were few functionalities available at the time that could match Oracle’s performance. Despite my limited knowledge, I was the sole person responsible at the DB Side as no-one was ready to work in PostgreSQL. After putting in long hours, I completed the PoC in three months. The client was pleased with the demo, and as a result, my company secured the migration project. This marked the beginning of my journey with PostgreSQL.
My first project – migrating from Oracle 10g to PostgreSQL 9.1, which included over 700 stored procedures, 200 functions, and 100 packages. The data also featured a wide variety of data types including custom data types. This project provided me with invaluable experience in working with databases. Today also, when I think of migration, I remember the dos and don’ts done at that time and try to apply them in my projects today also. I also learnt how to do DB Code during that process.
I have been doing multiple contributions to PostgreSQL via blogs, LinkedIn Learning Course, Co-Authoring a book – to name a few. However, I am yet to contribute to a PostgreSQL project that could make me proud.
I wish to become a PostgreSQL Committer and develop some nice features with AI or ML or contribute for SQL Query performances.
Have you faced any challenges in your work with PostgreSQL, and how did you overcome them?
The first version I worked with was PostgreSQL 9.1, which was relatively stable at the time. My initial projects involved migrating from Oracle to PostgreSQL, including both code and data. The migration of the code was particularly challenging due to the extensive use of Oracle-specific features. A major issue I encountered was with complex queries that relied heavily on built-in string and date functions, which resulted in poor performance in PostgreSQL. I had to completely rewrite the code to ensure no hindrance in performance, by removing unnecessary date/string functions and updating the data types at the table level to eliminate the need for conversions, allowing the queries to produce the results efficiently. Additionally, tuning the queries using the EXPLAIN plan proved to be very helpful.
In this project, they were also using Oracle’s PRAGMA AUTONOMOUS_TRANSACTION, which allows a new transaction to be initiated within another transaction, with the ability to commit or roll back changes independently. This was primarily used for auditing purposes, ensuring that the outcome of the main transaction wouldn’t affect certain critical operations. After extensive research and experimentation, I ultimately decided to use a database link and create two separate database connections. This approach allowed me to start a new transaction on a different connection, enabling independent commits or rollbacks. Although this was not the ideal solution, as it could pose security risks as same connection was used to access two different databases, we adapted it at that time since security was not a major concern for that specific module.
Community Involvement:
– I frequently write blogs on PostgreSQL which can be found on my current company’s website – https://www.percona.com
– I do try to speak at the PostgreSQL conferences. Till now I have given lightening talks at pgConf India.
– I have co-authored a book titled “PostgreSQL for Jobseekers,” published in June 2023. This book talks about the basics to intermediate concepts of PostgreSQL. (https://www.amazon.com/dp/B0C8Z4C9TQ/ref=sr_1_1?keywords=9789355514004&qid=1687431427&sr=8-1#customerReviews)
– I have developed a LinkedIn Learning course named “PostgreSQL Backup Tool – pgBackRest,” launched in April 2024. (https://www.linkedin.com/learning/postgresql-backup-and-restore-with-pgbackrest)
– Currently serving on the Code of Conduct committee in the PostgreSQL Community for 2024-25.
you share your experience with mentoring or supporting other women in the PostgreSQL ecosystem?
I have trained multiple experienced as well as fresher girls/women in database so that they can kick-start their journey in PostgreSQL.
Insights and Advice:
For women starting their careers in technology, particularly in database management and PostgreSQL, embracing a mindset of continuous learning is essential. Technology is always evolving, so staying curious and seeking knowledge can be incredibly beneficial for them. Gaining hands-on experience is also crucial; working on real projects, whether personal or through open-source contributions, allows them to apply their skills practically and deepen their understanding.
Engaging with the PostgreSQL community can provide valuable support and networking opportunities. They can build connections and foster a sense of belonging by participating in forums, meetups, and conferences. Seeking mentorship is another important step; finding mentors who can guide them through challenges and share insights can significantly impact their career journey.
This is true for anyone working in IT and specifically in Open Source technologies. Normally women are shy and don’t network easily but remember “Network is Net worth” nowadays and we should not move away from the same.
Are there any resources (books, courses, forums) you’d recommend to someone looking to deepen their PostgreSQL knowledge?
PostgreSQL is one of the most powerful opensource database today whose development started in 1986. It is a matured RDMS whose contributions are available across the globe PostgreSQL Documentation on the community website acts as a bible to understand the concepts of PostgreSQL which I highly recommend (https://www.postgresql.org/docs/current/)
-Apart from that, one can engage using PostgreSQL Mailing lists.
-Stack Overflow is a great place to ask questions and find answers about PostgreSQL.
-Additionally, I recommend PostgreSQL Wiki as one more good resource.
-Also, there is a dedicated Slack Channel for PostgreSQL where one can find very good stuff.
Looking Forward:
I am also an aspiring Data Science enthusiast, so any feature integrating AI & Machine Learning with PostgreSQL excites me. I am looking forward to when PostgreSQL will have extensive functionalities with ML, AI and similar concepts
Do you have any upcoming projects or goals within the PostgreSQL community that you can share?
I am actively contributing to the community through various initiatives mentioned earlier888. However, I haven’t yet made contributions to the coding side of PostgreSQL. I aspire to develop something and become a committer on the PostgreSQL Committee.
Personal Reflection:
Being part of the PostgreSQL community means engaging with a vibrant, diverse group of individuals who are passionate about open-source technology and database innovation.
How do you balance your professional and personal life, especially in a field that is constantly evolving?
Balancing professional and personal life in a constantly evolving field can be challenging but rewarding. One effective approach is to set clear boundaries between work and personal time. This involves establishing specific work hours and sticking to them, allowing for dedicated time to recharge and engage in personal interests.
Women often find themselves juggling multiple roles, particularly after becoming mothers, making multitasking a necessity. During challenging times, having a strong support system at home and at work is crucial. It’s important for them to continue on their professional paths, even if they can’t excel in every aspect. Taking breaks whenever needed is also essential for maintaining well-being and preventing burnout. Planning ahead can help maintain a balance between work and home life, ensuring that both responsibilities are managed effectively.
Prioritization is also key. Identifying what is most important, both professionally and personally, helps in making informed decisions about where to allocate time and energy.
Continuous learning is important in technology, but it can be managed by incorporating it into daily routines without overwhelming oneself. For instance, dedicating a small amount of time each week to learning new skills or exploring new technologies can be effective without disrupting personal life.
Message to the Community:
To all the women in the PostgreSQL community and those aspiring to join: their contributions are invaluable. The tech field thrives on diverse perspectives, and their voices can drive innovation and inclusivity. They should not hesitate to share ideas, ask questions, and seek support. It’s important to remember that every expert was once a beginner, and their journey is significant. Connecting with others, building networks, and celebrating achievements—both big and small—are essential. They belong in this space, and their presence enriches the community!
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.