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I'm currently building something new in the climate space.

Notable highlights:

  • I worked on AWS Cloud Map and left in late 2023. Most of my time there was spent on scaling the Data Plane of Cloud Map, where we serve DiscoverInstances requests.
  • I like thinking about how machine learning can have a meaningful impact to solve real world problems. I led, alongside Elias Williams, a team of 20 people to host a 3 month long machine learning competition focussed on Climate Change. Check out ProjectX 2020
  • I worked on a research project (Bittensor) under Ala Shaabana. I developed early benchmarking for performance of neural networks against other open source widely used LLMs. While I'm not able to spend much time on it now, what they're doing is really cool, you should check them out.
  • I'm fond of reading. Reach out about my recent reads.

Shardul Bansal's Projects

autonomous-arduino icon autonomous-arduino

Created a bike simulation from data provided by public bike provider in Montreal that can help collect data and allow the provider to store bikes efficiently.

chat-application icon chat-application

I learnt JavaFx and applied self-taught OOP theory to create a Chat Application that uses an existing socket communication library for networking. We also added an intuitive GUI interface for the front-end interaction of the program.

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

memory-game icon memory-game

Learned JavaFX to create a Memory Game for students of young ages

piskvork_ai icon piskvork_ai

AI Algorithm to play the game Piskvork (only works on Windows). Used a virtual machine to run piskvork.

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