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Learning Everyday
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Learning Everyday

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nilesh05apr/readme.md

Hi, I am Nilesh, Undergrad at Indian Institute of Technology, Kharagpur'25


+ Currently Backend/Test @ AWSMO.ai (building notification service for core backend, unit, ML, and integration tests)
+ Ex-SWE Intern @Tower Research Capital | Quant Research @ InCred Alternatives | MLE @ChiSquareX Technologies
+ I am interested in machine learning and NLP techniques, their use cases for the automation of boring and repetitive tasks.
+ I like to explore research ideas and implement stuff from scratch using C++ (still learning) and Python
+ I like to discuss ideas about math puzzles, system designs, optimizations, machine learning, and quantitative models for finance.  
+ Email: nileshdas.iitkgp@gmail.com  


+Connect with me



Thanks to tandpfun for skill-icons and Anurag Hazra for github-readme-stats

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  1. Backtest Backtest Public

    Trading strategy backtesting using python

    Python 1 1

  2. fipricing fipricing Public

    Implementation of various financial instruments pricing models in C++

    C++

  3. BackTest-Cpp BackTest-Cpp Public

    Simple BackTest Engine inspired by Backtrader framework available in python.

    C++ 8 6

  4. DesignPatternExamples DesignPatternExamples Public

    Implementation of various Software Design Patterns

    C++ 1

  5. GenAi GenAi Public

    Natural Language Translation using T5 and Image translation/synthesis using GANs demo on public dataset

    Jupyter Notebook

  6. TradeSim TradeSim Public

    Exchange and OrderBook Simulation based on FIFO matching algorithm

    C++