• Building Athair, an AI-powered trade stress-testing engine that validates stock trade ideas before capital deployment, designed to bring institutional-grade risk frameworks to retail and independent investors.
• Engineered multi-agent LLM reasoning pipelines for thesis decomposition, volatility regime detection, and fat-tailed Monte Carlo simulation with probabilistic confidence scoring.
• Developed scenario analysis and fragility detection modules that surface overfitting and hidden tail risks in user-defined trade theses, mimicking the pre-trade validation workflows of systematic hedge funds.
• Architected the full product stack independently, from quantitative modeling and LLM integration to system design and product roadmap.

selected for amazon ml summer school 2025 (5% acceptance rate), an intensive program covering advanced ml topics including supervised learning, deep neural networks, generative ai, and reinforcement learning, with interactive sessions led by senior amazon scientists.

conducted pioneering research in lead-free perovskite-based solar cells, achieving a remarkable efficiency using advanced device configuration and employing SCAPS 1D tool. wrote a paper titled – 'enhancing efficiency of lead-free perovskite solar cell by varying thickness, layer combination and back contact work function'.

pioneered a non-profit organization aimed at elevating awareness of social stigmas in india, spearheading strategic initiatives, directing a team of contributors, and supervising content dissemination. collaborated with 10+ team members to drive substantial engagement, amassing over 50,000 interactions on various social media platforms.