Open to full-time · Jan 2027 · NYC

RK9@_a 3KI=NData Scientist

I build AI systems for finance, analytics and
real-world decisions.

Data scientist, AI engineer and quant. I work on multi-agent LLM systems, forecasting and trading research — taking ideas from a research notebook to something people use in production.

See the work

Try live apps Ask my AI

status.logonline

Now: Data Management & Vendor Operations Intern @ Jain Global
Studying: MS Data Science · Columbia University
Based in: New York, NY
Focus: LLM systems · forecasting · quant research
Latest: Prosperity Trading Terminal

Graduating December 2026

200+hospitality finance clients served at Paperchase

~40%lower reporting latency from Azure microservices

8,192data-source coalitions scored for ocean fCO₂ valuation

15–20 hof manual forecasting saved per client each month

4research papers, including IEEE Access, Springer and ACM SAC

200+technical indicators in the Prosperity Trading Terminal

01Featured build

Prosperity Trading Terminal

A Bloomberg-style trading terminal and research platform for the IMC Prosperity algorithmic trading competition, supporting tick-by-tick market replay, strategy backtesting, order book visualization, execution simulation, and real-time performance analytics.

Read the case study Source

02Selected work

Systems that ship, not just notebooks

Trading research tools, agentic analytics, forecasting platforms and applied ML. Each one has a full write-up.

All 17 projects

Finance & Trading · Source

AI Adoption Value Realization Dashboard

An executive Power BI system that turns a two-year, $4M enterprise AI adoption strategy into a tracked value-realization layer, modeling spend, revenue uplift, payback, KPI gates, roadmap progress, scenario NPV, and program risk for a $75M CPG e-commerce business.

Power BIDAXTMDL Semantic ModelingFinancial ModelingSynthetic Data Generation

Agents & LLMs · Source

MatchOdds AI

An agentic RAG system for NBA pre-game betting analysis that aggregates statistics, injuries, odds, historical matchups, news, and sentiment signals, then compares CoT, ReAct, and multi-agent reasoning strategies for calibrated game prediction.

Agentic RAGSports AnalyticsLLM Agents

Systems · Source

Dynamic Resource Allocation in Cloud Computing

A power-aware, SLA-bound deep reinforcement learning scheduler for cloud computing, built with a custom Gymnasium simulator, PyTorch RL agents, FastAPI orchestration, and a React monitoring dashboard.

Deep Reinforcement LearningCloud SchedulingGymnasium

Research · Slides

Data Valuation for Sparse Surface Ocean Carbon Data

A Shapley-based data valuation pipeline for sparse surface ocean carbon prediction, ranking climate and Earth system data sources by their marginal contribution to regional fCO₂ prediction performance.

Data ValuationGeospatial MLOcean Carbon ModelingPandasNumPy

Live demo

Finance & Trading

StressTester

An end-to-end Next.js application that combines deterministic financial simulations with a 4-stage AI pipeline to extract assumptions, generate stress scenarios, compute KPI deltas, and produce mitigation playbooks for enterprise finance teams.

Next.jsTypeScriptLLM Pipelines

Agents & LLMs

Agentic NLP-to-SQL

A security-first, multi-agent natural language to SQL system with clarification, schema grounding, accounting-aware query generation, and safe execution across SQL backends

LLM AgentsNLP-to-SQLSQL Validation & Governance

Finance & Trading · Source

Statistical Arbitrage

A multi-factor statistical arbitrage framework using PCA-based factor models, residual mean reversion, and systematic trade analytics

Quantitative FinanceStatistical ArbitrageFactor Models

03Live lab

Don’t take my word for it. Run it.

Some of these projects are deployed. Launch them inside the page; the status next to each one is a real health check.

Open the live lab

04Research

Papers and research

Papers from my research years, mostly federated learning and applied ML. Open a card for the summary and results.

All papers

05Experience

Where I’ve worked

Full resume

June 2026 - Present

Data Management & Vendor Operations Intern · Jain Global

Designing AI-enabled automation across data sourcing, procurement, and vendor-management workflows to reduce manual cycle time and accelerate delivery of alpha-generating data to investment professionals across asset classes.

January 2026 - May 2026

Research Assistant — Data Valuation for Ocean fCO₂ Prediction · Columbia University - Lamont-Doherty Earth Observatory

Conducting a data valuation study for ocean fCO₂ prediction using cooperative game theory, exhaustively enumerating all 2¹³ = 8,192 source coalitions across 13 observational datasets (~300K samples) and training XGBRegressor models per coalition against a held-out North American Subtropical task set.

January 2026 - May 2026

Teaching Assistant — Algorithmic Trading (IEOR E4733) · Columbia University — IEOR Department

Supporting graduate-level instruction in algorithmic trading covering market microstructure theory, optimal market-making (Avellaneda-Stoikov), optimal execution (GLFT), and high-frequency trading system design.

May 2024 - August 2025

AI Engineer · Paperchase Inc.

Engineered an end-to-end financial intelligence platform combining AutoML forecasting, multi-agent LLM commentary, and drill-through P&L/Balance Sheet analytics used by CFOs and finance leaders across 200+ hospitality clients.

January 2021 - May 2025

Student Researcher · Dept. of CSE, PDEU

Developed federated learning pipelines integrating CNN-based defect classification with LIME-driven interpretability, achieving publication-level performance improvements on wafer defect datasets.

06Writing