Experience
Research Engineer
Quilter AI
2.5 Years (May 2022 - August 2024)
- Trained and deployed our first super-human reinforcement learning agent to optimize component placement for our PCB compiler.
- Designed a pure reinforcement learning PCB router.
- Researched sample-efficient reinforcement learning techniques in continuous and discrete action spaces.
- Computer vision agent architectures with image observations.
- Studied and built computational geometry and constrained topological learning algorithms.
- Distributed Monte-Carlo methods for optimization.
- Designed high performance vectorized engines on the GPU.
- Deployed machine learning models and reinforcement learning algorithms into production.
- Participated in raising our $10,000,000 Series A.
Deep Learning Engineer
Vathys AI
2 Years (March 2019 - March 2021)
- Designed multi-agent reinforcement learning algorithms to place and route transistors for custom deep learning integrated circuits.
- Researched machine learning model compression algorithms relating to sparsity, signal processing, and knowledge distillation.
- Distributed training algorithms for large scale research experiments across 128 GPUs concurrently.
- High performance physics simulations written in Python and C++.
Research Engineer
Gitcoin
1 Year (May 2021 - May 2022)
- Bot account detection using graph analysis and natural language processing correlated with blockchain data.
- Economic system analysis for grant-matching mechanism, essentially vote-weighting mechanism research.
Freelance Software Engineer
Independent Contractor
5 Years (January 2017 - March 2023)
- Conducted research and development for open source projects.
- Scrape, clean, and train on datasets for customers.
- Scoping and consulting for founders looking to understand how machine learning may be useful for their product.
- Random video game mods and server back-ends.
Machine Learning Engineer
Activeloop
9 Months (March 2021 - November 2021)
- Architected software for storing and managing petabyte scale datasets for streaming data to machine learning models in distributed systems.
- Trained machine learning models on large datasets.
Research Fellow
SharpestMinds
4 Months (November 2018 - March 2019)
- Advised by a Bell Labs R&D leader.
- Analyzed audio datasets using signal processing techniques.
- Gathered real-world data and designed resource efficient machine learning models.
- Inspired to found the Computer Science club at my college.