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Ronak-Mahajan/README.md

Ronak Mahajan

CS + Math at Vanderbilt, class of 2029. I build quant and ML systems.

neural-options-lab (live demo): deep-learning pricer for arithmetic Asian options. 1.33 bp RMSE against 200,000-path Monte Carlo references, rough-volatility calibration to live SPY and BTC option chains, and a neural pricing map that refits a 1,284-quote surface in seconds on a laptop CPU.

hft-lob: lock-free C++20 order book for NASDAQ ITCH 5.0. 10M+ messages/second on one core, 110M+ across 23 cores via wait-free sharding, verified byte-for-byte against a sequential reference.

hft-market-maker: a 500-seed paired study of Avellaneda-Stoikov market making. Inventory risk falls 17% and max drawdown 14%, at the cost of 36% fewer fills; the model buys risk reduction with volume, not edge.

ssda-folio-pipeline and ssda-nlp-tools: the vision and record-linkage stages that turn a 750,527-image colonial archive into a queryable database of people, events, and family ties. Sole developer, for Vanderbilt's Slave Societies Digital Archive.

Also built climateharbor.org, a climate-data platform with users in 35 countries.

LinkedIn |

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  1. neural-options-lab neural-options-lab Public

    Deep-learning option pricing and hedging: a neural surrogate for Asian options benchmarked against Monte Carlo, a rough Bergomi model for 0DTE, a CVaR deep hedging policy, live calibration, and an …

    Python 1

  2. slavesocieties/ssda-nlp-tools slavesocieties/ssda-nlp-tools Public

    Offline NLP toolkit for SSDA: entry segmentation (Task 3), extraction staging, identity resolution, QA, and cost modeling — 67 tests, no LLM calls

    Python

  3. slavesocieties/ssda-folio-pipeline slavesocieties/ssda-folio-pipeline Public

    SSDA Task 1: folio split / upright / crop image pre-processing pipeline (learned U-Net page segmentation, seam-based gutter split, oriented crop, 4-way orientation + deskew)

    Python

  4. hft-market-maker hft-market-maker Public

    Python-based HFT market making simulator implementing the Avellaneda-Stoikov framework. Backtests inventory-aware strategies against naive approaches using Geometric Brownian Motion and Poisson ord…

    Jupyter Notebook