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Nirav-Madhani/README.md

Hi 👋! My name is Nirav and I'm a ML Engineer

What I Do

- I work as application developer at bank software company, where I handle Cloud Infrastructure and oversee application architecture

When I am not working at company:-
1. I do ML research or make applications based on existing ML models
2. I program my Robot to do cool things.
3. I do interesting astronomy projects.
4. I develop cool games.

pytorch logo python logo jupyter logo unity logo javascript logo react logo html5 logo css3 logo docker logo kubernetes logo azure logo googlecloud logo django logo spring logo csharp logo android logo dot-net logo linux logo raspberrypi logo apache logo

My Achievements

• Received Letter of Appreciation from Director of University for work performed on hyperspectral image super-resolution during my internship at SAC – ISRO
• Contributor of Open-Source Poliastro project, underlying library used by Satellite Constellation Remote sensing at NASA
• 1st Price winner for one of the subcategories at Hack DFW 2022 hackathon and top 7 in overall
• Co-Author of Paper on Industry 5.0, with 25 citations
• Top 8.83% in LeetCode

Ongoing / Recent work

  • An Android App to Help People (on-going)
  • Multi-Task Learning

  • stats graph languages graph

    Pinned

    1. My-Games My-Games Public

      A repository describing some of my unity3D games published on PlayStore.

    2. Image Image Public

      Image - Server Instance and Room Management solution for Mirror Networking

      C# 20 3

    3. NaturalPartitioning NaturalPartitioning Public

      Simple project to implement Natural Partitioning using on 3-4-5 Rule. You can also generate the final tree using this notebook.

      Jupyter Notebook

    4. RoboticArmFK RoboticArmFK Public

      A simple code to plot robot-arms in 3D space based on Joint Variables. The notebook is interactable,i.e Real-Time

      Jupyter Notebook 1

    5. CeNSE-DL CeNSE-DL Public

      Jupyter Notebook

    6. TrafficSwarm TrafficSwarm Public

      Car crossing traffic lane without colliding, by inter-communication within agents using reinforcement learning.