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DhyeyMavani2003/README.md

Hello World ๐Ÿ‘‹, I'm Dhyey Mavani

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๐ŸŒ Website: dhyeymavani.com
๐Ÿ“ซ Email: ddmavani2003@gmail.com
๐Ÿ’ผ LinkedIn: linkedin.com/in/dhyey-mavani


๐Ÿš€ About Me

  • Software Engineer, Generative AI @ LinkedIn
    Working on cutting-edge Large Language Model (LLM) & agentic-AI applications powering LinkedInโ€™s core B2B2C use-cases.
  • Triple Major @ Amherst College in Computer Science, Mathematics, and Statistics (2ร— Summa Cum Laude, Phi Beta Kappa, Sigma Xi).
  • Honors Theses
    • ๐Ÿงฎ Mathematics: Lean4-based Machine-Assisted Proof Framework for Chip-Firing Games & Graphical Riemannโ€“Roch
    • ๐Ÿ“Š Statistics: ccrvam โ€“ Open-source Python package for model-free exploratory analysis of multivariate discrete data.
  • Former Roles:
    • AI/ML Software Engineer Intern @ LinkedIn โ€“ Built GPU-accelerated Rust + PyTorch inference engine โ†’ 2ร— faster inference, 10ร— faster ingestion, ~$1M GPU cost savings.
    • Software Development Engineer Intern @ Amazon Web Services โ€“ Latency optimizations for AWS CloudFront; proposed AutoML outage prediction.
    • Quantitative Trader Intern @ Valkyrie Trading โ€“ Monte-Carlo theo-value simulations & market-making strategy analysis.

๐Ÿ† Highlights

  • Selected & sponsored for Y Combinatorโ€™s AI Startup School โ€“ learned directly from Sam Altman, Elon Musk, Satya Nadella, Andrej Karpathy, Fei-Fei Li, and others.
  • Author of chipfiring โ€“ first dedicated Python package for chip-firing games on multigraphs.
  • Winner of Robert H. Breusch Prize for Best Honors Thesis in Statistics.
  • Former President of Amherst Quant Club & Founding Director of Engineering @ i2i (student-led venture studio).

๐Ÿ›  Core Expertise

  • Generative AI & ML: LLMs, RecSys, CUDA/PyTorch, Model Serving Infra
  • Computational Mathematics: Graph Theory, Discrete Optimization, Number Theory
  • Systems & Development: Rust, Python, C++, Java, API Integration, Distributed Systems
  • Quantitative Research: Monte Carlo Simulations, Risk Models, Time-Series Analysis

๐ŸŒฑ Beyond Code

Outside work, Iโ€™m often:
๐Ÿธ Playing badminton (Yonex Northeastern Collegiate โ€“ 6th in singles, wins vs Harvard/Binghamton)
๐Ÿน Practicing archery
๐ŸŒŠ Adventuring โ€” jetskiing, ATV riding, bungee jumping, zip-lining
๐Ÿค Mentoring students in tech & quant finance


๐Ÿ”— Connect with me:

LinkedIn Website

Pinned Loading

  1. ML-based-and-Pairs-Trading-on-Stocks-and-Portfolios ML-based-and-Pairs-Trading-on-Stocks-and-Portfolios Public

    Jupyter Notebook 2 4

  2. r-blocks r-blocks Public

    This is the intermediate codebase of RBlocks project. The most recently deployed code is in a private repository owned by Amherst College, but the website is deployed for open use at https://sliao.โ€ฆ

    JavaScript 1 1

  3. Black-Scholes-with-Sentiment-to-Volatility-Trade-Recommender Black-Scholes-with-Sentiment-to-Volatility-Trade-Recommender Public

    Python 2 4

  4. Applications-of-Convex-Optimization-in-Quantitative-Trading-and-Portfolio-Management Applications-of-Convex-Optimization-in-Quantitative-Trading-and-Portfolio-Management Public

    As a part of Optimization course at Amherst College, towards the end I explored its applications to Quantitative Trading Industry through various lenses. This Repository contains open-source materiโ€ฆ

    1

  5. google-it-automation google-it-automation Public

    Forked from elmoallistair/google-it-automation

    google it automation with python professional certificate

    Jupyter Notebook

  6. ACquantclub/Amherst-College-Quant-Club-Resources ACquantclub/Amherst-College-Quant-Club-Resources Public

    Central Repository for Quant Related Resources prepared by Amherst College Quant Club for enthusiasts of all experience levels

    HTML 2 3