About
Building quantitative systems with mathematical rigor
Applied Mathematics graduate, research lead, and engineer at the intersection of ML, finance, and agentic AI. Graduated May 2026 and open to new-grad Data Scientist / ML Engineer roles.
Journey
From Applied Math to Blockchain Lab Lead
I'm an Applied Math and Statistics student at Stony Brook, trained to treat every model as a hypothesis that has to survive real validation. As Research Lead at the Blockchain Business Lab, I build ML systems for finance and lead a 16-person research team. I've shipped CHF v2, a URECA paper on LLM-built portfolios, and the Financial Insights Pipeline, and I run SHF-ML forecast research on HPC.
Education
Stony Brook University
B.S. in Applied Mathematics and Statistics, with a focus on machine learning and finance
Aug 2022 - May 2026
- Dean's List (2023-2025)
- Global Excellence Award
- Excellent Research Award
- Best Researcher Award
- Project Champion (VIP 2026)
My Professional Journey
Work Experience
Undergraduate Student Researcher (VIP) · Stony Brook University, College of Engineering
Jan 2026 - Present · Stony Brook, NY- Won Project Champion: led a 4-person team to a 1.19%/mo portfolio spread on a 397K stock-month panel.
- Modeled cross-sectional returns with accounting-only vs market-only Random Forests on the JKP dataset.
- Scaled training across the Seawulf and NVwulf HPC clusters with a leakage-free 70-month rolling design.
- Directed feature engineering and validation, turning raw market and on-chain data into a reproducible pipeline.
Research Lead & Data Scientist · Blockchain Business Lab
Aug 2025 - Present · Stony Brook, NY- Won the lab's Excellent Research and Best Researcher awards.
- Lead a 16-person team on Agile workflows, setting research direction and code-review standards.
- Direct four parallel research tracks, from crypto quant pipelines to LLM-portfolio research.
- Build each system from data collection through modeling and walk-forward backtesting in production Python.
G-SWEP Fellow · Google
Sept 2025 - Jan 2026 · New York City- Selected from 2,000+ applicants for Google's 10-week G-SWEP x BASTA fellowship.
- Trained weekly 1:1 with Google engineers on production Python and system design.
- Sharpened data structures and algorithms through intensive technical-interview practice.
- Adopted Google's code-quality and review standards, now applied to my research code.
Undergraduate Research Assistant · Blockchain Business Lab
Aug 2024 - Aug 2025 · Stony Brook, NY- Made the lab's crypto research reproducible by standardizing its data pipelines and backtesting.
- Engineered market and on-chain features for Random Forest, XGBoost, and LSTM forecasting models.
- Built the evaluation and backtesting workflows the team measured its results against.
- Prepared and validated the market and on-chain datasets those models trained on.
What I work with
Skills Matrix
Machine Learning
Scikit-LearnXGBoostLightGBMTensorFlowRandom ForestStatsmodelsSHAPPandas
Quant Finance
Algorithmic TradingPortfolio ManagementBacktestingWalk-Forward ValidationRisk ModelingHRP
Data Engineering
PostgreSQLFastAPIREST APIsDuckDBPolarsJSON/ParquetBeautifulSoupSelenium
Generative AI
LangChainHugging FaceRAGPrompt EngineeringGemini APIFAISSGradio
Languages
PythonSQLTypeScriptRustRMATLAB
Tools & Infra
DockerGitJupyterHPC ClusterTableauSpacetimeDBThree.jsx402/Privy
Continuous Learning
Certifications & Recognition
Google Software Engineer Program (G-SWEP) Fellow
Sept 2025 - Jan 2026Google
Selected from 2,000+ applicants for 1:1 Google mentorship on production Python and algorithmic problem solving.
PythonDSADynamic ProgrammingSystem DesignURECA Research Paper - Generative AI in Portfolio Management
Dec 2025Stony Brook University (URECA)
Co-authored URECA paper testing Perplexity-built S&P 500 portfolios on WRDS data with Jain, Lee, and Ha.
LLMsWRDSPrompt EngineeringResearchProject Champion
2026Stony Brook University (VIP)
Awarded for SHF-ML: forecast-disagreement research on the JKP dataset using HPC-scale Random Forest pipelines.
Empirical Asset PricingHPCML ResearchBest Researcher Award
2025Blockchain Business Lab
Awarded for leading lab research: CHF v2, FIP, and agentic financial signal extraction.
LeadershipQuant ResearchMLExcellent Research Award
2025Blockchain Business Lab
Awarded for directing 4+ research efforts in ML-driven DeFi and agentic signal extraction.
ML ResearchQuant FinanceLeadershipAIxBio Hackathon
May 2026ClaimGuard-AI
Built a pre-submission claims risk engine: Gemma extraction, XGBoost scoring, DuckDB knapsack triage.
FastAPIXGBoostHealthcare AIGlobal Excellence Award
2022 - 2026Stony Brook University
Merit award for sustained academic performance in Applied Math and Statistics.
Applied MathStatisticsDean's List
2023 - 2025Stony Brook University
Top academic standing across consecutive years in a proof-heavy quantitative curriculum.
Academics
Academic Foundation
Relevant Coursework
Core Math & Statistics
- AMS 210·Applied Linear Algebra
- AMS 261·Applied Calculus III
- AMS 310·Survey of Probability and Statistics
- AMS 311·Probability Theory
- AMS 315·Data Analysis
- AMS 317·Introduction to Linear Regression Analysis
- AMS 301·Finite Mathematical Structures
Quantitative Finance
- AMS 318·Financial Mathematics
- AMS 320·Introduction to Quantitative Finance
- AMS 341·Operations Research I
Computer Science & Computing
- CSE 114·Intro to Object-Oriented Programming
- CSE 214·Data Structures
- CSE 215·Foundations of Computer Science
- AMS 325·Computing Fundamentals in AMS
- AMS 380·Data Mining
Business & Information Systems
- ISE 218·Fundamentals of Information Technology
- ISE 305·Database Design and Practice
- ISE 320·Information Management