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Portrait of Tanishq Jain

Tanishq Jain

Quant Researcher ×AI Systems Engineer

Philosophy

I build systems that move capital, compress complexity, and think.

01Experience

Experience

Research

Jan 2026 – Present

Dataism Laboratory for Quantitative Finance @ Virginia Tech · Blacksburg, VA

Quantitative Research Assistant

  • Researching agentic AI architectures for financial trading systems and domain-specific financial LLMs.
  • Compiled structured literature reviews on financial LLMs, single/multi-agent trading frameworks, RL for portfolio management and optimization, and risk aversion architectures.
PythonLLMsReinforcement Learning
2026Dataism Laboratory for Quantitative FinanceBlacksburg, VA
202526Triton Quantitative TradingSan Diego, CA

Apr 2025 – Apr 2026

Triton Quantitative Trading · San Diego, CA

Quantitative Researcher · ETF Momentum Research

  • Built a cross-sector ETF momentum rotation strategy across nine industries (300%+ returns over 5 years).
  • Developed a GARCH-based volatility overlay reducing maximum drawdown from 40% to 25%.
PythonpandasGARCHBacktesting

May 2023 – Aug 2023

Lumiere Research Program · Remote

Research Author

  • Authored a research paper analyzing technology and policy changes that could create additional air monitoring data points in India.
  • Worked with Anne Laure Strong, PhD candidate at Stanford in Civil and Environmental Engineering, on air quality, monitoring infrastructure, and environmental policy research.
Air QualityPolicy ResearchEnvironmental Systems
2023Lumiere Research ProgramRemote

Industry, Venture & Leadership

Nov 2025 – Present

Triton Quantitative Trading · San Diego, CA

Board Member

  • Structuring quantitative finance seminars, competitions, and research groups with industry leaders.
  • Designing curriculum and workshop roadmaps for club members.
LeadershipCurriculumSeminarsIndustry Relations
2025Triton Quantitative TradingSan Diego, CA
2026Triton Quantitative TradingSan Diego, CA

Apr 2026 – Present

Triton Quantitative Trading · San Diego, CA

Crypto Project Lead · ChainSense (TQT × DS3)

  • Co-leading a joint initiative applying unsupervised ML to Ethereum on-chain data, with a team of 4.
  • Covering data ingestion, wallet clustering, and backtested strategy deployment via Alchemy API and QuantConnect.
PythonUnsupervised MLAlchemy APIQuantConnectWeb3

June 2025 – Sept 2025

AKCJ Ventures · Delhi, India

Investment Analyst

  • Evaluated 15+ early-stage startups across AI, environment, sports-tech, and logistics verticals, contributing to approximately $1M in funding decisions, delivering investment memos, market sizing analyses, and founder assessments.
  • Digitized and automated deal evaluation workflows using AI tools, reducing analysis time by up to 50%.
Financial ModelingMarket SizingAI Automation
2025AKCJ VenturesDelhi, India
2024AKCJ VenturesDelhi, India

May 2024 – June 2024

AKCJ Ventures · Delhi, India

Summer Intern

  • Supported partners in sourcing and screening deal flow across consumer tech and deep tech sectors.
Deal SourcingDue Diligence

June 2025 – Feb 2026

Agencity Technologies · Delhi, India

Co-Founder

  • Led development of an AI-powered system for opportunity discovery, contributing to LLM integrations, data pipelines, and backend/database workflows while shaping product vision and early strategy.
Next.jsPythonLLMsPostgreSQL
202526Agencity TechnologiesDelhi, India
2023Hughes Systique CorporationGurugram, India

June 2023 – July 2023

Hughes Systique Corporation · Gurugram, India

Summer Intern

  • Built an image classification pipeline using VGG16 and transfer learning with Keras and OpenCV.
  • Performed image preprocessing, data augmentation, and model evaluation across multiple classification tasks.
PythonKerasTensorFlowOpenCV

Foundation

Sept 2024 – Present

University of California, San Diego

B.S. Mathematics & Computing + B.S. Economics

  • Minor: Political Science
  • GPA / Score: 3.68/4.0
  • OOP, DSA, OS, Discrete Math, Linear Algebra, Multivar. Calculus, Prob. & Stats., Micro/Macroecon.
2024University of California, San Diego
2026Chartered Financial Analyst ®

Nov 2026

Chartered Financial Analyst ®

Level 1 Candidate

  • Equity valuation, fixed income, derivatives, portfolio management, ethics, and quantitative methods.

Apr 2014 – Apr 2024

GD Goenka Public School Model Town

CBSE National Curriculum

  • GPA / Score: 96.8%
  • Head Boy (led 20+ council members for 3000+ students), MUN Secretariat (Dir. General / IT Head), Core Team @ Student Enterprise Club — managed events with 700+ attendees, >40% profit on sales day.
201424GD Goenka Public School Model Town

Closing thought

Three tracks, one thesis: build systems that move capital

From research desks at Dataism Lab and Triton Quant, to deal memos at AKCJ Ventures, to leadership at the Triton board, each role has been a different angle on the same question: how do you turn structure into edge? The next section is what falls out of asking that question with code.

See the projects

02Projects

Projects

2026

Dr. Holmes: Multi-Agent Diagnostic Deliberation

House MD–style diagnostic team built as a multi-agent LLM system. Seven specialist agents deliberate over patient cases under a deterministic moderator, grounded in a medical knowledge graph, a Bayesian engine over DDXPlus, and vector-retrieved literature.

PythonLangGraphFastAPIWebSocketNeo4j
View project
2026

StratEngine: Quant Strategy Research Engine

Competition-focused quant research engine that turns plain-English round briefs into typed strategy contexts, retrieves relevant strategy cards, generates and critiques candidates, and saves submission-ready artifacts for IMC Prosperity, WorldQuant BRAIN, and QuantConnect.

PythonAnthropic APIPydanticBacktraderRetrieval
View project
2026

assist_bot: Personal Assistant Fork

Personal fork of OpenClaw with a booking-focused extension and skill layer. A documented merge strategy keeps the fork tracking upstream security and bug fixes while preserving custom plugin layout and approval-gated browser automation.

TypeScriptOpenClawPlugin SDKBrowser AutomationNode
View project
2025

CAPM & Jensen's Alpha Quantitative Analysis

Tool to compute Jensen's alpha, beta, Sharpe ratio, and risk metrics for any equity vs. the S&P 500 using CAPM regression and excess-return analysis over a 1-year window, with full residual diagnostics.

PythonpandasyFinancestatsmodelsMatplotlib
View project
2024

Stock Trade Management Program

Stock portfolio management system with profit/loss analysis, date-based filtering, and data visualization built on a MySQL backend.

PythonMySQLpandasMatplotlib
View project

03Environment

Environment

Climate, Policy, Reuse

A separate track for the environmental work from my latest resume: climate AI, air quality research, environmental systems coursework, and early resource-sharing experiments.

June - July 2024

AI for climate systems

Climate Change AI Summer School

Studied how AI is applied across agriculture, biodiversity, social sciences, energy systems, and climate ethics through lectures, tutorials, and assessments.

Climate AIEnergyBiodiversityEthics

May - Aug 2023

Lumiere Research Program

Air Monitoring Research

Authored a research paper analyzing technology and policy changes that could create additional air monitoring data points in India, advised by Anne Laure Strong, PhD candidate at Stanford in Civil and Environmental Engineering.

Air QualityPolicyIndiaResearch

2020 - 2021

Founder

RENNTING

Founded a low-cost console game CD rental service built around resource sharing and reuse instead of one-off ownership.

Circular EconomyResource SharingFounder

UCSD

ESYS10 and SYN 1

Environmental Coursework

Built academic grounding in environmental systems alongside computer science, economics, and quantitative methods.

Environmental SystemsUCSDInterdisciplinary

04Expertise

Expertise

Languages

  • Python
  • C/C++
  • Java
  • SQL
  • R
  • MATLAB
  • STATA
  • LaTeX
  • HTML/CSS

Frameworks & Tools

  • QuantConnect
  • FastAPI
  • Vercel
  • Git
  • Linux
  • Jupyter
  • MySQL
  • PostgreSQL

Libraries

  • pandas
  • NumPy
  • scikit-learn
  • statsmodels
  • Matplotlib
  • Keras
  • TensorFlow
  • OpenCV
  • yFinance
  • Web3

Methods

  • Hypothesis Testing
  • Regression
  • Monte Carlo Simulation
  • K-Means Clustering
  • SVM