Timeline
-
2023→present
work
- Python
- RAG / LangChain
- Databricks
- Terraform
- AWS
- Delivery quality excellence award
Prototyped, architected, and shipped one of the U.S. Coast Guard's first production RAG-based LLM applications.
Design Databricks deployments via Terraform across surface-vessel, cyber, and commercial-maritime teams.
Serve as AI/ML SME for the Coast Guard CTO
Built design patterns reused across Steampunk's AI Lab.
Article here -
2023
work
- Python
- Machine Learning
- Containerization
- .Net
- C#
- SQL
Sensitive national-security work — most of what I'd want to say about it is under NDA. Took a research ML prototype to a production-ready containerized application enabling rapid reporting. If the details were publishable, they'd be here
-
2022
work
- Snowflake
- Apache NiFi
- AWS S3
- Python
- best teamwork award
- high performer
Built a data platform ingesting up to 500 GB/day from 15 vendors in Snowflake + Apache NiFi + AWS S3. Scaled the team from one (me) to four. The platform was awarded a $15M multi-year contract. Also built a scalable full-text search application supporting cyber-crime investigations.
-
2020
work
- Python
- Django
- MongoDB
- HDFS
- GIS
- Tableau
- high performer
Maintained an enterprise HDFS cluster used by ~250 researchers. Built an SVM-based classifier in Python/Django/MongoDB that helped develop budgets for the government of Puerto Rico (84.2% accuracy). Joined as a 2018 summer associate building airfield visualizations in GIS, Python, and Tableau.
-
2018
work
- GIS
- ArcGIS
Spring 2018 Graduate Geographic Information Systems, while finishing my M.S.
-
education
- data acquisition
- numerical methods
- advanced infrastructure systems
- data structures
- machine learning
- sensing and data mining
Carnegie Institute of Technology | College of Engineering
Went back for the M.S. and subsequently into into software engineering and applied research. I think of the civil-engineering background less as a detour and more as the reason I take infrastructure seriously — water systems, power systems, and data systems all break in the same kinds of ways, and the ones that don't break are the ones somebody bothered to maintain.
-
2017
work
- HTML
- SQL
- CSS
- visual basic
SaaS platform used by Los Alamos National Lab. The first job that made me realize the bottleneck was almost always the data, not the science.
-
work
- C++
- CFD
Wrote C++ that modified groundwater-flow software according to fluid-dynamics equations. The project that eventually nudged me into software engineering. Article here
-
education
- Differential Equations
- Fluid Mechanics
- Thermodynamics
- Engineers Without Borders
- Phi Sigma Pi National Honor Fraternity
Undergraduate degree, with the NASA Delaware Space Grant Summer Research internships along the way.
I started in environmental engineering at the University of Delaware, with NASA Space Grant summer research along the way. The thread that pulled me into software was always the same: the people doing the science I cared about kept hitting the same wall, and the wall was the data.