Portrait of Aditya Bakshi

Aditya Bakshi

Engineer · Quant · Trader · Data Scientist — New York

Building real-time trading systems, order-book infra, and finance NLP.

I care about fast paths, clean APIs, and measurable results.

Email me Resume GitHub LinkedIn
$285B
investment account supported
5.9μs
execution latency achieved
100K+
retail users served
40% ROI
crypto strategy backtest

Featured Projects

Mock trading dashboard UI

Real-time Mock Trading & Analytics Engine

FastAPI + PostgreSQL + AWS platform for mock trading, risk analytics, and portfolio optimization. Live market data via WebSockets with sub-500ms updates.

FastAPIPostgreSQLAWSWebSockets
Live Demo Backend Frontend
Order book data warehouse

Large-Scale Time-Series Order-Book Warehouse

High-performance C++17 warehouse with fixed-size binary snapshots, multithreaded query engine, and fast random access.

C++17Time-SeriesConcurrency
Repo
LoRA finance NLP

LoRA Enhanced LLM Fine-Tuning for Finance NLP

Fine-tuning pipelines with quantization-aware training and adaptive LR for sentiment and market analysis tasks.

TensorFlowLoRANLP
Repo
DAO governance

DAO Governance Framework + ADI Token

Ethereum smart contracts for proposals, voting, and execution. ERC-20 token for secure and democratic voting.

SolidityHardhat
Repo
Technical strategy analyzer

Technical Strategy Analyzer

Interactive Dash app for backtesting technical strategies with tunable parameters and result comparison.

PythonDash
Repo
Crypto momentum trader

Cryptocurrency Momentum Algorithmic Trader

Momentum-based BTC strategy with robust backtesting and bootstrapping analysis.

PythonBacktesting
Repo

Latest on GitHub

Recent repositories & updates (pulled live).

Experience

  1. MassMutual

    2025–Present
    New York, USA
    • Investment Quantitative Developer 2025–Present

      Designed statistical models & data pipelines supporting a $285B investment account across FI ETFs, structured credit, and derivatives. Built front-office tools and integrated Python, Docker, and GitHub workflows.

  2. Endless Frontier Labs

    2024–2025
    New York, USA
    • Research Analyst 2024–2025

      Built scalable Python/SQL data pipelines and the organization website with interactive analytics.

  3. Estee Advisors

    2020–2023
    Gurugram, India
    • Quantitative Researcher 2023

      Built long-only multi-factor models for Asian equities; applied ML to macro/technical/alt data; achieved >1% monthly alpha with high Sharpe and low volatility.

    • Senior Software Engineer — Trading Middleware 2021–2023

      Real-time risk engine with sub-millisecond recalibration; event-driven strategy builder & execution engine; HFT middleware with 5.9μs latency; led API/WebSocket integrations.

    • Software Engineer — Investment Platform 2020–2021

      Engineered a scalable advisory platform “Gulaq” on FastAPI/AWS/MySQL serving 100K+ users via microservices, SQS, and serverless compute.

Education

  1. New York University

    2023–2025
    M.S. in Financial Engineering · New York, USA
    • Teaching Assistant: Machine Learning; NLP & Investment Process; Advanced Deep Learning.
    • Focus: Computational finance, Derivatives, Time-series Analysis, Deep Learning, Optimization.

  2. Netaji Subhas Institute of Technology (NSIT)

    2016–2020
    B.E. in Electronics & Communication Engineering · Delhi, India
    • Coursework: Data Structures & Algorithms, Operating Systems, Databases, Probability & Stats.

Skills & Tools

Core

PythonC++JavaScriptFastAPINode.jsReact

Systems

AWSDockerRedisRabbitMQKafkaSQLLinux

Specialties

ML (TensorFlow)TransformersLLMsBlockchainDistributed Systems

Certifications

GARP FRM® Level 1

Earned elite distinction (top 5% globally).

NISM Series-XVI: Commodity Derivatives

Score: 92.7%.

Bloomberg Market Concepts

Certification.

Contact

Email Download Resume GitHub LinkedIn