Sep 2024 – Feb 2025 · 5 mos · Greenwich, Connecticut, United States · On-site

• Inference, AI and Data Center Research
• Lead the company's expansion by building a dev team in India to oversee product development.

Jul 2024 – Oct 2024 · 3 mos · Greenwich, Connecticut, United States · On-site

• 0 to 1 product development of essential internal dev tools and external AI-enabled finance dashboards for customers. High agency, high responsibility.

Sep 2023 – Mar 2024 · 6 mos · San Diego, California, United States · Hybrid

• Really liked being a TA.
• I was quiet when I first started, and English is my third language, but the role grew on me and I did a decent job.
• Got a 5/5 approval rating from students and also gave a guest lecture on Ethics and Regulations in Generative AI in early 2024. Do see myself coming back to teaching at some point.
• Courses I TA’d for:
• Graduate-level course on Advances in Language Models by Professor Ndapa Nakashole
• TA for Prof. Julian McAuley in Fall 2023’s CSE 158 – Web Mining and Recommender Systems

Jun 2023 – Jun 2024 · 1 yr · San Diego County, California, United States · Hybrid

• Led the end-to-end development of machine learning models for stress detection using wearable sensor data, directly contributing to successful grant acquisition and major funding.
• It was at this point I realized how much I loved working at startups — creating my own hypotheses and testing them immediately.

Mar 2023 – Jun 2024 · 1 yr 3 mos · San Diego, California, United States · Hybrid

• Had the pleasure of working in Human-AI Interaction with Dr. Kristen Vaccaro, focusing on Explainable AI.
• I led a project aimed at understanding how qualitative evaluations of XAI systems can be improved.

Aug 2021 – Jun 2022 · 10 mos · Mumbai, Maharashtra, India

• Founding member of the Data Lake team.
• Developed key data engineering pipelines to bring essential sources into the Data Lake. The data was time-sensitive, and we were handling millions of rows — reliability and speed were everything.

Feb 2021 – Aug 2021 · 6 mos · Mumbai, Maharashtra, India

• Internship at India's largest Private Insurance company.
• Built multiple user-friendly dashboard aimed at maximizing shareholder value. While I was good at it, I realized it wasn’t something I truly enjoyed — so I transitioned to the Data Lake team soon after.
• Got promoted to Senior Software Developer.

Mar 2020 – Sep 2020 · 6 mos · Mumbai

• Built a platform that helped travelers connect with local tour guides and generate AI-powered travel itineraries. We also explored AR/VR and Computer Vision to enhance the experience. We were always ambitious and eager to push the boundaries of what we could offer to the world.

May 2019 – Jul 2019 · 2 mos · Navi Mumbai · On-site

• My first internship was at India’s largest telecom company, where I had the opportunity to work with an incredible team and learn under brilliant scientists like Dr. Shailesh Kumar.
• A few projects I contributed to:
• Built the Community Forest Algorithm — an ensemble method that forms feature communities based on mutual affinity.
• Built a resume parser using Python and supervised learning for text classification.
• Created learning materials on Data Science and ML for onboarding new hires.
• Contributed to a data-agnostic tool that automated data cleaning and generated visual insights.

Jan 2019 – Jul 2021 · 2 yrs 6 mos · Udupi, Karnataka, India · Hybrid

• Fell in love with research during my undergrad. I was highly productive and explored a range of areas including Applied Machine Learning, NLP, Computer Vision, Networking, and Cyber Security. I made it a point to try my hands at everything early on to figure out what I truly enjoy.
• Contributed to 4 peer-reviewed research papers across diverse domains.