Projects

1. Serve as an ML Engineering Architect designing and implementing an enterprise micro-service architecture Retrieval Augmented Generation application.

   • Key technologies: 

a. Docker, Kubernetes, AWS Bedrock, AWS EKS

b. Python, Langchain, Git

1. • Streamlined CI/CD process from prototype to development across multiple environments. 

   • Built and deployed multiple micro-services to enable text embedding and chat functionality querying over 200k documents in seconds

   • Served as the founding engineer for a $3M new contract with the Coast Guard

   • Scaled an AI application 600% in 10 weeks, resulting in a doubling of the initial funding

2. Coast Guard Harbor

   • Personally received commendation from CTO's office on the impact of my work

   • Build infrastructure-as-code modules to configure Databricks resources resulting in a 99.95% reduction in the on-boarding time for new users

   • Develop terraform tooling to manage data privacy, role based access controls, network access

   • Build out proof of concept machine learning experiments using spark and PyTorch demonstrating ways to save costs across the coast guard

3. Coast Guard HR Migration

   • Migrate coast guard HR data and reporting from legacy databases to databricks, reducing the time of report development from 6 weeks to 24 hours

   • Recognized with an internal award for highest quality deliverables 

4. Steampunk AI Lab

   • Develop prototype using DSPy library demonstrating the use of small models for mathematical reasoning

   • Critical contributions during a tech challenge resulting in a $47M multi-year award

Projects

1. Submarine Data Platform - Navigation, Fire Control and Base Maneuvering

   • Automate and streamline CI/CD for a critical national security data pipeline across 3 environments

   • Develop error logging framework to streamline errors from multiple sub-systems to one single point of entry reducing debugging time by 50%

2. Computer vision for national security asset protection

   • Refactor researchers' experimental computer vision tools to production level predictive machine learning software across multiple environments

Projects

1. RAPID Data Platform - US Special Operations Command

   • Built a data engineering product from design to production using Snowflake, Apache NiFI and AWS earning the company a record $15M contract award

     1. 1. Ingested over 500 gigabytes of data daily from 15 different data vendors

   • Optimized thousands of stored procedures in Snowflake to reduce cloud expenditure by over 140%

   • Interfaced with the data science team enabling anomaly and fraud detection proofs of concept to become robust production features 

   • Scaled a team by over 200%, enabling an application to go from greenfield to production in 13 weeks.

     1. 1. Won 2024 Best Teamwork Crystal Award

2. Full text semantic search supporting clandestine officers

   • Key technologies:

a. Docker, Elastic Search, PostgreSQL

2. • Built a containerized search engine to rapidly sort through troves of financial evidence linked to human trafficking chains reducing analysis time by 30 hours per week

Projects

1. Serve as a machine learning subject matter expert for the Pentagon's Joint Artificial Intelligence Task Force

• Determine predictive algorithms for naval aircraft maintenance

• Implement decision tree algorithms supporting US Air Force Europe 

2. Built a support-vector-machine classifier to predict construction codes and materials aiding Hurricane Maria recovery efforts achieving an 84.2% precision rate

3. Maintained an enterprise HDFS cluster managing upgrades to services like Hive and Spark for over 250 researchers working on critical national security missions

4. Parallelized an application using AWS EC2 instances to reduce runtime by 99.96% for an application building reports for regulatory agencies

Project

1. Determine the feasibility of road side amended soils in reducing pollutant runoff, ultimately preventing eutrophication of the Chesapeake Bay. This involved laboratory and field experiments, coordination with the National Fish and Wildlife Foundation and the Delaware Department of Transportation