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Quantitative systems · research · debate

Bhav Jain

A consolidated record of academics, research, competition, and service.

FIELDS OF WORK 01 / 02 / 03

Conceptual terrain. Not measured data.

Introduction

I’m Bhav Jain — a student at American Heritage Schools (Palm Beach Campus), Class of 2027. My work sits at the intersection of quantitative research, intelligent systems, and competitive argumentation: model safety & red-teaming, peer-reviewed NLP research, and national-level Congressional Debate.

I’m most interested in economics / quantitative finance / computer science: using rigorous math and careful evaluation to build systems that work under adversarial pressure — whether that’s in AI safety, trading research, or high-stakes debate.

Select a field

Peer-reviewed NLP work on multi-persona interaction as a prompting method to improve logical reasoning in LLMs (vs. standard chain-of-thought baselines).

Town Hall Debate Prompting (publication)
American Heritage Schools (Palm Beach Campus) Florida, USA Class of 2027

Selected work

Projects

Materials engineering · experimentation · patent prosecution

Utility patent pending — novel bioplastic formulation

Independently designed and engineered a novel bioplastic formulation and filed a full utility patent with the USPTO; currently responding to office action.

View patent publication

NLP · prompting · evaluation

Town Hall Debate Prompting (publication)

Peer-reviewed NLP work on multi-persona interaction as a prompting method to improve logical reasoning in LLMs (vs. standard chain-of-thought baselines).

Proceedings ↗

LLM safety · adversarial testing · evaluation

Model safety research & red-teaming (selected)

Contract AI safety researcher and red-teamer. Passed technical screening and secured paid work testing frontier models; identified universal jailbreak-style vulnerabilities and helped drive mitigations pre-deployment.

Résumé (PDF) ↗

Python · backtesting · statistics

Algorithmic trading research stack (supplementary)

Built and backtested systematic equity strategies in Python (momentum-driven signals, asymmetric risk construction), plus an end-to-end research workflow for iteration and evaluation.

All repositories on GitHub ↗

Honors & awards (selected)

Distinctions

  1. Tournament of Champions (TOC):

    Top 3; Yale Finalist; NSDA Nationals Semifinalist — Congressional Debate (800+ NSDA points; Academic All-American).

  2. USAPhO qualifier (2×):

    Qualified via F=MA high score (18/25 and 17/25; top ~400 nationally).

  3. AIME qualifier (2×):

    AMC 12A distinction (135); AIME 8/15 (top decile of AIME takers).

  4. Sigma Xi IFoRE:

    1st place (multiple categories, multiple years).

  5. USPTO utility patent (pending):

    Novel bioplastic formulation (office action in progress).

All distinctions

Service & work history

Experience

Contract AI Safety Researcher & Red Teamer

Anthropic · year-round (selected engagement)

Selected for model safety work; conducted adversarial testing and identified universal jailbreak-style vulnerabilities in sensitive domains; contributed to mitigations pre-deployment.

Executive Director / Founding leadership

TechEase · grant-funded community initiative

Direct a grant-funded, news-featured community initiative: organize events, secure funding, and manage outreach. 500+ documented service hours.

Congress Captain / Team Leader / Lead Competitor

Congressional Debate · NSDA

Captain of a #1 NSDA-ranked program. Under my captaincy: Mundt Sweepstakes Trophy, Harvard Classic sweep winner, TOC/Yale sweeps (2nd), and national-level placements.

Full history

Standardized testing

All scores

ACT:

35.5

(36 Reading, Math, and Science; 34 English).

SAT:

1570

(superscore).

PSAT/NMSQT:

1500

(740 Evidence-Based Reading & Writing; 760 Math).

Correspondence

Contact

I’m open to serious collaboration on research, engineering, and outreach. Reach out with a concise note and objective.

bhavjain7@gmail.com