Building intelligent systems that bridge the gap between research and real-world applications. Previously built production AI agents at Mira, Aroha Labs.
I'm an AI/ML Engineer with a unique blend of biological sciences and manufacturing engineering background from BITS Pilani. This interdisciplinary education gives me a distinctive perspective on solving complex problems.
My journey started in research at the intersection of biology, material science, and AI/ML, working on computational discovery of battery materials and mining biological literature using NLP and deep learning.
From there, I gained industry experience across diverse domains: healthcare (breast cancer classification at APS Labs), digital advertising (optimizing ad engagement at Rocketium), and FMCG at Hindustan Unilever Ltd. where I collaborated with Deloitte consultants on ML-driven process optimization. At Mira, Aroha Labs, I built production-grade AI agents and event-driven microservices on AWS, powering intelligent systems with Agno, LangChain, vector databases, and MCP integrations.
Lightweight MCP server that persists AI conversation-turn summaries to a shared CLAUDE.md, keeping Claude Code and Claude Desktop in sync. Supports multi-user collaboration over HTTPS with a platform-scoped CRUD API and concurrent file-access safety via fcntl locking.
Android app that aggregates AI and tech updates from arXiv, Reddit, GitHub Trending, and Hacker News. Features an AI summarization pipeline, bookmarking, and privacy-first local storage.
RAG chatbot with LangChain, GPT-4, and FAISS/Pinecone for precise skincare product recommendations. Features dynamic chunking and real-time search integration.
Adapted deep learning frameworks to predict chemical compound properties with 90% accuracy. Built BERT-based text extraction tool and employed hierarchical GNNs for novel material discovery.
Extracted research papers featuring rice-associated genes using NLP and PubMed's API. Designed a database-driven website to catalog genes and their isolation methods.
Ministry of Education, Taiwan
Sep 2025 - Nov 2025
Selected for Taiwan Experience Education Program for research on predicting time-series voltage of MFC's using hybrid LSTM-GRU models under Prof. Wang Chin-Tsan.
Let's Rewire EV Battery Charging
Oct 2023 - May 2025
Received INR 2 Lakh grant to pursue research on ML-based EV battery charging optimization. Led a 10-member team for experiments and model development.
Pre-Regional Mathematics Olympiad
Oct 2018
One of 200 students from Delhi Region who qualified for Regional Mathematics Olympiad (RMO).
Cult Sports Fest 2024
Apr 2024
Won the award for scoring a hat trick in the Rocketium football tournament.
L&T Edutech - Apr 2024
Kaggle - Aug 2022
Kaggle - Aug 2022
I'm always open to discussing new opportunities, interesting projects, or potential collaborations. Whether you have a question or just want to say hi, feel free to reach out!