New York, NY
Engineering professional specializing in AI systems and infrastructure.
I'm an engineering professional specializing in AI systems and infrastructure. My work focuses on building scalable, reliable, and production-ready AI applications, from LLM platforms and agentic AI to deterministic workflows and secure AI deployments.
Beyond engineering, I actively pursue research in quantitative finance. My interests include empirical asset pricing, Stochastic Discount Factor (SDF) modeling, reinforcement learning for financial markets, factor investing, and portfolio optimization.
Outside of work, you'll usually find me watching football, cooking, reading, or discovering new cafes.
Education
PhD coursework - Financial Economics; Summer School - Financial Machine Learning
New Haven, CT · Jul 2025 - Dec 2025
Topics covered: Intertemporal Portfolio Optimization, CAPM, ICAPM, Stochastic Discount Factor, and Multifactor Modeling.
M.S., Computer Science (Applied Data Analytics)
Boston, MA · Sep 2022 - Jan 2024
Relevant coursework: Advanced Machine Learning, Big Data, Data Mining, and Analysis of Algorithms.
B.Eng., MPAE (Automation Engineering)
Delhi, India · Aug 2018 - May 2022
Relevant coursework: Mathematics I/II/III, Mathematical Statistics, Operations Research, and Artificial Engineering.
Projects
Multi-agent GraphRAG
A local-first multi-agent GraphRAG learning project that turns Yelp-style structured business data and review text into evidence-backed restaurant recommendations.
Quant finance
A portfolio construction project for allocating across multiple assets while studying constraints, volatility, diversification, and risk-adjusted performance.
Asset pricing ML
A cross-sectional attention model that learns relationships between stocks from firm characteristics to construct dollar-neutral equity portfolios.
Climate ML
A geospatial machine learning project using Landsat imagery and environmental features to predict soil salinity risk.
RAG writing assistant
An editor application that lets users write and ask questions simultaneously, using retrieval-augmented generation to surface context-aware responses from a research-paper knowledge base.
Contact
I'm open to conversations around AI systems, research infrastructure, quantitative finance, and climate ML.