I specialize in building and deploying customized AI solutions (Computer Vision and Large Language Models) for enterprises. I have built RAG (Retrieval Augmented Generation) based applications, fine tuned LLMs and developed image classification models. I also have experience with model distillation/pruning and deploying models on embedded devices.

In addition to the roles/duties that I have fulfilled while I was a Staff Engineer, I now serve as a Career Manager providing role guidance and technical guidance for multiple software engineers. I also conduct technical interviews for potential candidates.

I specialize in full-stack development, working with RESTful services, React, Docker, Continuous Integration and database management (Relational, and MongoDB). In addition to my experience with full-stack development, I served as a DevOps engineer, where I was able to cut AWS costs by ~$2000 a month. I was tasked with being the Tech Lead for a strategfic investment of ~$300k in order to streamline and normalize onboarding/offboarding processes for the Advana (Advance Analytics) project, which serves as the primary data analytics platform for the Department of Defense and provides AI/ML services (2000+ employees).

I specialized in embedded software/operating systems, and was a key expert in designing systems related to electronic warfare. I was consistently categorized as a Top Performer (Top 5%) within the company, and I was one of the few employees to recieve a designation of Top Perfomer in under one year of employment. As a result of my accomplishments, I was delegated a lead role in designing the architecture of the software solution.

I worked on a cutting edge desktop application called code compare, which is capable of analyzing millions of lines of code and determining whether or not code was plagirized or copyright was violated. This software was used by the firm to resolve software disputes.

I worked on providing monitioring and alerts to a key web application that was deployed in production. I used Splunk, Datadog and New Relic to monitor logs, and provider alerts when needed.