Engineering -1 to 1 AI systems that move this ❤️ world forward and add value to people's lives.
Recent Ships:
SpaceGuard: Kalshi for space events 🚀. A predictive intelligence platform providing satellite collision risk assessment via real-time market signals.
Homecastr: FaceTime for real estate 🏠. A conversational video AI that transforms static property listings into interactive, agent-led experiences.
OrphaNova: The OS for orphan drug R&D 🧬. An AI-native research engine architected to accelerate therapeutic discovery for rare diseases.
Founding Engineer & Lead Developer · OrphaNova
Building OrphaNova, an AI research system for rare disease discovery. Designed a 7-stage pipeline that retrieves biomedical literature, extracts disease-gene relationships, predicts protein structures (AlphaFold2), screens drug candidates (RDKit), performs molecular docking (Chai-1), and generates publication-ready research reports.
Research Assistant · Yeshiva University
Developed deep learning models for cardiomegaly detection from veterinary X-rays, achieving 85.75% accuracy on 2,000+ images. Built OrphanAtlas, a rare disease research platform combining GPT-based retrieval pipelines with biomedical datasets, now used by 500+ researchers.
Received Outstanding R&D Award at the Yeshiva University Research Symposium.
Featured builds, shipped and live
Multimodal AI system for real-time real estate analysis with a futuristic twist, moving beyond static data to a conversational video interface. Features a lifelike FaceTime-style experience powered by Tavus Phoenix for real-time video synthesis and ElevenLabs for natural voice interaction. Supports markets nationwide including NYC.
Real-time satellite collision risk intelligence platform: think Kalshi for space events. Tracks 800+ satellites, live prediction markets, critical portfolio risk ($2.4B at risk), and active hedges. Built for space industry professionals and prediction market enthusiasts.
Event-driven trading agent for Kalshi prediction markets. Learns from new market data in real-time, generates trading signals, and executes trades with built-in risk controls and backtesting framework.
Agent-based generative AI workflows for drug repurposing research. Mines biomedical literature, extracts evidence, and generates hypotheses. Built with LLM + RAG pipelines and domain-constrained prompting to reduce hallucinations in sparse data.
Deep learning pipeline combining LSTM time-series analysis with FinBERT sentiment from news/social media. Achieved 15% higher accuracy than single-modality models. Includes backtesting and financial metrics (Sharpe ratio, MSE, RMSE) for risk-adjusted insights.
Built reinforcement learning agents using Q-learning, Deep Q-Networks, and Monte Carlo Tree Search. Implemented epsilon-greedy exploration and policy gradients. Secured 7th place globally (top 0.5%) through hyperparameter tuning and reward shaping.
Latest repositories from GitHub.
Katz School of Science and Health
Indian Institute of Information Technology (IIIT) Bangalore
Top publications from ResearchGate.
Visit ResearchGate ProfilePython, Pandas, NumPy, SciPy, Matplotlib, TensorFlow, PyTorch, Keras, Scikit-learn, OpenCV, Git
Reinforcement Learning, Computer Vision, NLP, Generative AI, RAG, Responsible AI, CUDA, Multimodal Fusion, W&B, API Development, Hugging Face, LLM Fine-tuning
MySQL, MongoDB, Hadoop, Apache Spark, GCP (Vertex AI, TPU), AWS (EC2/S3), Azure ML, Docker
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