TL;DAI (Too Long; Did AI)
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.
Building intelligent systems that bridge the gap between research and real-world applications. Currently crafting AI solutions 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. Currently at Mira, Aroha Labs, I build production-grade AI agents and event-driven microservices on AWS, powering intelligent systems with Agno, LangChain, vector databases, and MCP integrations.
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.
MCP server integrating Gemini 2.0 and PokeAPI for Claude Desktop with async HTTP client processing 1000+ Pokemon and intelligent battle strategy generation.
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!