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ashwin6-dev/README.md

👋 Hi, I'm Ashwin!

🎓 CS Student @ Imperial College London
💻 Tech Enthusiast | Aspiring Software Engineer
🔍 Currently Seeking Opportunities in Tech

🚀 About Me

  • 🏫 Education: BEng Computing (1st Class), Imperial College London (2023 - 2026)
  • 💼 Internships: Experience as a Software Engineering Intern at TopScore Tech, collaborating in Agile environments and developing scalable, high-impact features.
  • 🌐 Tech Stack: Python, C/C++, Kotlin, SQL, JavaScript, HTML/CSS, React, Node.js, Vue.js, Flask, TensorFlow, Scikit-Learn, Pandas, Numpy.

🔥 Featured Projects

📈 Cricket Match Modeling

Languages/Tools: Python, Numpy, Pandas, TensorFlow, Scikit-Learn
Developed a sophisticated simulator for cricket matches with over 100,000 ball-by-ball data points. Using a neural network model, this project predicts individual player stats and match outcomes with an impressive accuracy, averaging within 7.5% of real scores.

🧮 Autograd Framework with JIT Compilation

Languages/Tools: C++
Developed an autograd framework that leverages JIT compilation to transform computational graphs into optimized x86-64 assembly code. This framework is being extended to support neural network operations, with a focus on computational efficiency through graph traversal and binary encoding. Everything written by hand (no third-party dependencies!)

🧠 Focus Monitoring Device

Languages/Tools: Python, Scikit-Learn, Numpy, Pandas, Vue.js, Flask
Created a brain-wearable device to track user focus, recognized with a £2000 Finalist prize in the Imperial Advanced Hackspace competition. Developed an ML model to calculate focus levels of a user given the realtime brainwave data from the headset.

📚 Deep Learning Library from Scratch

Languages/Tools: Python, Numpy Built a deep learning library supporting RNN, CNN, and Linear layers, complete with automatic differentiation. Applied it to achieve 96% accuracy in handwritten digit recognition.

📫 Get in Touch

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  1. grad-pp grad-pp Public

    Automatic differentiation in C++

    C++ 1

  2. Zen-Deep-Learning-Library Zen-Deep-Learning-Library Public

    Deep Learning library written in Python. Contains code for my blog series on building a deep learning library.

    Python 3

  3. language-interpreter language-interpreter Public

    An interpreter for my own programming language

    Kotlin 1

  4. pictionary-socket.io pictionary-socket.io Public

    Pictionary with socket.io

    JavaScript 2 1

  5. Deep-Learning-Search-Engine Deep-Learning-Search-Engine Public

    Uses Transformers and ANNOY to return Wikipedia pages for a search query

    Python 2

  6. 2048-AI 2048-AI Public

    AI to play the game 2048

    JavaScript 1