CV
Education
- B.E. Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, Goa (2020-2024)
- Minor Degree in Data Science, Birla Institute of Technology and Science, Pilani, Goa (2022-2024)
Work experience
- August 2025 - Present: Research Fellow
- Microsoft Research
- Worked on Updesh, a 9.5 million-sample culturally grounded synthetic instruction dataset.
- Working on Samiksha: A large scale multilingual evaluation suite for LLMs.
- April 2025 - August 2025: Data Scientist
- Razorpay
- Converted the existing payment routing system (Doppler) from classical ML to a real-time multi-armed bandit reinforcement learning framework.
- Designed and deployed Airflow DAGs for automated data retrieval and performance evaluation.
- Conducted extensive EDA and rebuilt feature engineering pipelines.
- August 2024 - March 2025: Associate ML Scientist-1
- Wadhwani AI
- Developed a domain-specific language model for agriculture, utilizing fine-tuning techniques and synthetic data pipelines.
- Designed and deployed a chatbot for Kisan Call Centres (KCC), serving 3,000 queries daily.
- Worked closely with the Kisan eMitra Chatbot, streamlining insurance related grievance resolution.
- January 2024 - July 2024: Machine Learning Intern
- Wadhwani AI
- Implemented and compared Retrieval-Augmented Generation (RAG) and fine-tuning methods on models like Mistral-7B and LLaMA-8B.
- Designed and evaluated synthetic data pipelines for instruction tuning.
- August 2023 - January 2024: Undergraduate Researcher
- APPCAIR, UNSW
- Worked on building a 7 Million parameter deep learning model for detecting objects in endoscopic medical footage.
- May 2022 - July 2022: Summer Research Intern
- CSIR-CSIO, Chandigarh
- Developed a dashboard to showcase contemporary research in water quality monitoring.
Skills
- Languages: Python, C++, Java, C
- Developer Tools: Git, Github, VS Code
- Frameworks: Pytorch, TensorFlow, HuggingFace, Langchain, Llama Index, RAGAs
- Libraries: numpy, pandas, scikit-learn, matplotlib, d3.js, dc.js
Research Interests
- Large Language Models: Parameter efficient fine-tuning approaches, Evaluating LM responses and domain specific applications of LLMs, Retrieval Augmented Generation
- Computer Vision: Diffusion models, Vision Transformers for detection and segmentation
- Theoretical ML: Stochastic modelling, Bayesian Modelling for Machine Learning
Publications
Service and leadership
- Debate Head - The Literary and Debating Club BITS Goa
- Responsible for leading the debating wing of the college club and training the members.
- Participated in multiple National and international Debating competitions as a speaker and a judge.
