Portfolio

About Me


Education

Georgia Tech
Atlanta, USA
M.S. Computer Science, Machine Learning Specialization

2025 - 2027 (Expected)

BITS Pilani, Goa Campus
Goa, India
B.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%.
University of Montreal
Undergraduate Student Researcher Jul 2023 - Dec 2023 | Montreal, Canada
  • Developed computer vision algorithms to assess Equity, Diversity, and Inclusion in public spaces under the supervision of Prof. Shin Koseki and Dr. Hugo Berard at the UNESCO Chair of Urban Planning.
  • Presented research findings at the CVPR 2024 Workshop on Responsible Data.
  • Published the undergraduate thesis on measuring fairness in general generative AI tasks, titled: *Measuring Equity in Preference Learning Tasks*, in AIES 2025.
AI Institute of the University of South Carolina
Student Research Intern Sep 2022 - Feb 2023 | Remote, India
  • Researched and evaluated behavior of Large Language Models (LLMs) from the BERT and GPT families on analogical reasoning aptitude across a novel hierarchy for analogical aptitude benchmarks.
  • Co-authored a publication in the Findings of the Association for Computational Linguistics (ACL).
CSIR-CEERI Pilani
Summer Research Intern May 2022 - July 2022 | Remote, India
  • Worked on Image Inpainting Using Partial Convolutional U-Nets for Ancient Image Restoration for virtual culture preservation.

Technological Proficiency

Domains
NLP Deep Learning Reinforcement Learning Generative AI
Languages
Python C/C++ Java MATLAB SQL
Libraries
PyTorch TensorFlow Keras Hugging Face NumPy Scikit-learn Pandas
Tools & Platforms
Git Linux Cloud (Azure) REST APIs Compute Clusters

Teaching Experience

CSE 8803 ASI
AI for Social Impact

Jan 2026 - Present

CS F425
Deep Learning

Jan 2024 - May 2024

CS F211
Data Structures & Algorithms

Jan 2023 - May 2023

CS F214
Logic in Computer Science

July 2022 - Dec 2022


Awards

🏆
MITACS Globalink Research Fellowship
July 2023

Selected 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

Projects & Publications