Portfolio
About Me
Education
Georgia Tech
Atlanta, USAM.S. Computer Science, Machine Learning Specialization
2025 - 2027 (Expected)
BITS Pilani, Goa Campus
Goa, IndiaB.E. Computer Science, Minor in Data Science
2020 - 2024
Experience
Microsoft Research
Pre-doctoral Researcher Nov 2024 - Aug 2025 | Bangalore, India- Developed and evaluated novel algorithmic solutions for large-scale code intelligence tasks, applying advanced engineering principles to improve code QnA, summarization, understanding, and translation across gigabyte-scale Microsoft repositories.
- Engineered state-of-the-art LLM algorithms featuring parametric/non-parametric memory, reinforcement learning fine-tuning, and advanced RAG-based strategies (GraphRAG, HippoRAG, PlanRAG), achieving 5% gains in code translation accuracy.
Microsoft Research
Research Intern Jul 2024 - Nov 2024 | Bangalore, India- Designed and implemented an agentic + symbolic AI system that generates engineering diagrams directly from natural language, integrating principles of object-oriented programming and advanced AI/ML techniques.
- Collaborated with senior researchers, executives, and stakeholders at Microsoft Energy to refine feature requirements and ensure AI solutions met industry standards and responsible AI practices.
- Presented findings at the AAAI 2025 Workshop on AI to Accelerate Science and Engineering, demonstrating robust time management and the ability to quickly assimilate emerging AI methodologies.
Atlassian
Software Engineering Intern - AI Team Jun 2023 - Jul 2023 | Bangalore, India- Implemented a Generative AI Solution for Knowledge Base Assistance and Creation, processing resolved IT tickets to improve existing knowledge base.
- Developed a prototype aimed to reduce the number of self-serviceable tickets by 35%.
Technological Proficiency
Domains
Languages
Libraries
Tools & Platforms
Teaching Experience
CSE 8803 ASI
AI for Social Impact
Jan 2026 - Present
CS F425
Deep Learning
Jan 2024 - May 2024
Awards
MITACS Globalink Research Fellowship
July 2023Selected among the top 10% of applicants for a fully funded Canadian research internship.
Relevant Coursework
Graduate Specialization
- Introduction to Uncertainty Quantification (CSE 8803 IUQ)
- Machine Learning Theory (CS 7545)
- Machine Learning with Graphs (CSE 8803 MLG)
- Social Computing (CS 6474)
- Computational Data Analysis (CSE 6740)
Undergraduate Foundation
- Machine Learning (BITS F464)
- Deep Learning (CS F425)
- Reinforcement Learning (CS F317)
- Foundations of Data Science (CS F320)
- Applied Statistical Methods (MATH F432)
- Operating Systems (CS F372)
- Theory of Computation (CS F351)
- Computer Networks (CS F303)
- Logic in Computer Science (CS F214)
- Compiler Construction (CS F363)
- Design & Analysis of Algorithms
- Database Systems