• Made several improvements to entity recognition and context extraction for InDi. Also designed the DB schema for backend processes, and re-architected the web scraping solution.• Mentored at a 7-month-long ML bootcamp for 30+ employees at Nasdaq Bengaluru.

• Played a key role in a small team jump-starting a new machine intelligence product, InDi, an Advisory product under Capital Access Platforms, involving named entity recognition, web scraping, AWS, and RDBMS. Took the project to prototype phase.• Global finalist of the 2023 intra-company hackathon by leveraging LLMs for Terraform script generation.

Undergraduate teaching assistant for the 6th-semester course Object-Oriented Analysis and Design with Java (UE21CS352B), under Prof. Priya Badrinath, for 180+ students.• Created lab contests to test students' understanding of Java and OOP concepts including inheritance, polymorphism, multi-threading, serialization, etc. Crafted a total of 14 detailed problem statements, generated test cases to evaluate them, and hosted them on HackerRank.• Wrote multi-page case studies for students to create use-case models, class diagrams, activity diagrams, and Java solutions.• Created a detailed guide on the model-view-controller architectural pattern, and wrote a case study for students to build a Java MVC solution to.• Solved and shared solutions for every task listed above.

Implemented the usage of stereo vision to compute the 3D coordinates of a subject, to be used in a future decision review system for cricket.