CV

Education

Implemented an algorithm to efficiently filter and analyze 20 GB of market data using Polars/Pandas, Numpy
Built webcrawler to gather multiple exchanges’ market data for analysis using NodeJs
Created a system in C++ to receive and decode SBE packets from broker apis
Analyzed high volatility market options and designed algorithm to detect volatility spikes

IBM’s univeristy program for training students how to navigate the corporate world and software engineering
Learned how to communicate and network with fellow colleagues from the same industry
Learned how to integrate generative AI into React and Nodejs applications and developing with cloud based solutions

Interned for a computer vision as a service Berkeley Skydeck startup
Trained computer vision YOLOv8 and TrackNet keypoint models with PyTorch
Designed object detection algorithms fast moving small objections for live video feeds
Utilized OpenCV to visualize bounding boxes and keypoints