JPMC · Data Scientist Director

I build agentic systems that solve real problems.

13+ years across AI, statistics, and technology. Data Scientist Director at JP Morgan — now building agentic systems at scale on cloud platforms, with a focus on business impact.

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01 / The short version

AI, stats, and tech —
with impact in mind.

Over 13 years applying AI and statistical methods to hard business problems — from liquidity models and surveillance to the agentic systems I build today. The goal is never the model itself. It’s the outcome it unlocks.

At JP Morgan I work across Communication Surveillance, Controls, Lending, and Operations — deploying language models, statistical models, and autonomous agents on cloud platforms built for production scale.

01

Agentic Systems at Scale

Autonomous workflows that reason, act, and orchestrate across enterprise systems.

02

AI & Statistical Models

Training and deploying LLMs and classical models — 13+ years in the craft.

03

Cloud & Impact

Leveraging cloud platforms for deployment and scale. Solving problems that matter.

02 / Career chapters

Three eras, one thread.

Each role sharpened a different edge — infrastructure, modeling, then AI at scale.

2018 —
Current

JP Morgan Chase

Data Scientist Director

Building agentic systems at scale across Surveillance, Controls, Lending, and Operations — deployed on cloud platforms, trained on language and statistical models, and measured by the business problems they solve.

Agentic AI Cloud LLMs Statistical Models Scale
2016 — 18
Strats

Goldman Sachs

Corporate Treasury & GSS Strats

Modeled HQLA movements across the entire securities business. Optimized intercompany strategies for Euro dividends and JPY balance sheets. Built projection engines for regulatory lock-up — less volatility, tighter buffers, clearer decisions.

Liquidity Balance Sheet Regulatory
2012 — 16
Foundation

Goldman Sachs

Financial Reporting · Summer Analyst ’12

Where it all started — ETL through Java and Informatica, ledger reconciliations, regulatory reporting automation. Rebuilt DBMS architecture and cut pipeline runtime from 8 hours to 2.5. Earned the full-time offer from the internship.

ETL Java Tableau SQL

03 / Hobbies

Beyond work.

Cricket Basketball Skydiving Trekking Adventure Sports

B.Tech Mathematics & Computing · IIT Guwahati · 2013

04 / Contact

Say hello.

Always open to a good conversation — about AI, agentic systems, or cricket.

abhinav.yadav1992@gmail.com LinkedIn GitHub