Her Story
About Annesha
Annesha Chowdhury is a Senior Data Engineer specializing in large-scale data systems, AI-driven analytics, and critical infrastructure technologies. She currently works at Intuit on the AI Futures team, where she focuses on building and optimizing data pipelines that support advanced AI research and enterprise-scale decision-making. With approximately eight years of experience in the technology sector, she is known for designing resilient, high-performance data architectures using tools such as Apache Spark, PySpark, and modern AWS cloud services.
Throughout her career, Annesha has held engineering roles across major organizations including Citi, Black Knight, and CBRE, where she built and scaled ETL systems, real-time streaming pipelines, and machine learning infrastructure. Her work has consistently focused on improving data reliability, processing efficiency, and business intelligence through distributed computing systems, leveraging technologies such as AWS Glue, Redshift, Kafka, and Snowflake. Across these roles, she has delivered enterprise-grade solutions supporting financial analytics, regulatory reporting, and predictive modeling.
Annesha holds a Master of Science in Computer Science from The University of Texas at Dallas, with a specialization in Intelligent Systems, and a bachelor’s degree in Computer Science Engineering from West Bengal University of Technology. She is also a Senior Member of the IEEE. Beyond her professional engineering work, she is building AI-driven platforms focused on critical infrastructure resilience and emergency response systems, including Crisisense and a multimodal AI infrastructure solution designed to reduce hallucinations and improve enterprise AI reliability.
Her Interview
Ten minutes with Annesha
01What do you attribute your success to?
I would say over the years, I upskilled myself a lot. I kept upskilling myself, and I think right now, I still don't stop doing the same. That continuous learning and upskilling has really helped me with my success. I never stay stagnant - I'm always working on improving my skills and staying current in my field, which has been key to getting where I am today.
02What’s the best career advice you’ve ever received?
The best career advice I've received came from one of my mentors in my early professional years. He told me to just listen, listen more, and talk less, and to understand everyone's point of view. Then you use those things to understand how your point of view is different from theirs. Basically, listen more and talk less. That advice has really stuck with me and shaped how I approach my work and interactions with colleagues.
03What advice would you give to young women entering your industry?
For other women who are in their early years of their career, I would pass on the advice about listening more and talking less that I received. But I'd also add some more pieces of advice: keep things simple, and don't overcomplicate your learning. Don't overcomplicate things in general. Just keep working at it, and you will get the success soon. The key is to stay focused, not get overwhelmed by trying to do too much at once, and trust that consistent effort will pay off.
04What are the biggest challenges or opportunities in your field right now?
The biggest challenge in my field right now is the overhype of AI. I believe a lot of people do not understand that AI is not really meant to be overhyped. Everyone just goes on and on about AI, using AI for everything, but you really have to understand that it cannot just overtake humans. AI cannot overtake the human brain and how you think. Another thing I'd like to mention is that data is everything. If you give AI your data, because right now people don't understand, a lot of these corporations take your data - for example, when you're using an LLM, they take your data and they actually use that to train their models. People need to understand these things. So data is everything, and I feel there's a lot of gap between that understanding.
05What values are most important to you in your work and personal life?
In my professional life, a good team and good communication are very important to me. Just keeping things transparent across the board is essential. For example, if I'm working in a team, or if I'm working in my own startup, I think good transparency and communication, and good work ethic are really important. In my personal life, I really value honesty and transparency as well. These values guide how I interact with others and approach both my work and personal relationships.
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