* Full-stack engineer cross-functional collaboration, working on Google Assistant backend, Android Auto Projected front-end, and LLMs.

* Led the LLM training data creation, fine-tuning, and evaluation of LLM models to improve their accuracy from 50% to 90%.

* Led key engineering contributions in developing AI-driven features impacting over 500k users monthly.

Full stack engineer on AWS Audit Manager team, utilizing Java, Python, React, Typescript, and several AWS services.

Worked on frontend UX to successfully finish and get approved for General Availability, and worked on backend and operations to successfully prepare for a smooth General Availability launch on schedule.

Excelled as Scrum Master for 6 consecutive months, including during service launch, for a team of 10 engineers.

Developed several RESTful customer facing APIs, end-to-end, including unit tests and integration tests.

Developer/Researcher of computer vision system that detects Pneumothorax in medical imaging x-rays, utilizing CNN and U-Net, and many different machine learning techniques in regards to image preprocessing and model training.

o Quickly designed, developed, and tested production features.

o Learned and developed in new Bro Analysis Framework and its programming language for use in company products.

o Invented novel method of detecting Physical Keyloggers, becoming an important selling point in company product.

o Quickly developed ASP.NET features for the production version of a company product, and finished way ahead of schedule.

o Wrote C/C# programs and handled USB drivers for detecting Physical Keyloggers.