About Me

Patent attorney turned software engineer with a passion for building innovative AI-powered tools.

I will automate something tedious no matter how long it takes.

When I'm not at the computer or staring into the abyss, I'm usually hiking a trail with my dog, Murph.

Professional Experience

ML Architect

Jan 2025 – Present
Skyward IT SolutionsRockville, MD
  • Transformed organization's #1 most popular tool (CMS chat) from rigid path-following to flexible agentic system using Model Context Protocol and custom workflows
  • Expanded agent capabilities by building MCP integrations with key tools (Slack, Jira, Confluence, Linear, Internet, Code Execution, Vector and SQL DBs)
  • Enabled local spreadsheet analysis with LLMs via client-side code execution and tailored Python-specific coding agents
  • Built specialized research agent with custom tooling and prompts to amplify internal contract procurement team, with MCP tools for accessing proprietary data
  • Developed and tested multiple knowledge base approaches (vectorstores, agentic-SQL queries, BM25 searches) to identify optimal solutions for specific use cases
  • Developed Terraform-based infrastructure-as-code solution for reproducible LLM inference engine benchmarking across cloud providers
  • Created custom performance testing tools capturing LLM-specific metrics (time-to-first-token, throughput) for 4 inference engines and 25+ open-source models
  • Onboarded and trained interns and new hires in developing effective agents with the MCP protocol and best practices for LLM-powered applications
MCP
Llama-Index
Terraform
LLM
Python
Knowledge Engineering
BM25
Vector Databases
Cloud Infrastructure
Performance Testing

Founder/Creator

Jan 2025 – Present
Socratic Sensei
  • Developing AI-powered study platform for law students using Next.js, tRPC, and LLMs
  • Built spaced repetition system that automatically generates personalized issue-spotting essays based on students' knowledge gaps
  • Implemented knowledge-grounded LLM architecture that anchors AI responses to students' course notes, eliminating hallucinations while providing Socratic guidance
Next.js
tRPC
LLMs
Spaced Repetition
Knowledge-grounded AI

Founder/Creator

Jan 2024 – Aug 2024
Patense.ai
  • Developed Patense.ai using Next.js, tRPC, Prisma, Tailwind, and AWS Lambda to help patent lawyers analyze documents
  • Built cloud and privacy-first local solutions utilizing LLMs, with 2X performance boost through vLLM implementation
  • Increased search speed by 300% via prompt engineering and created scalable data processing with custom O(nlog(n)) algorithm searches
Next.js
tRPC
Prisma
Tailwind
AWS Lambda
LLMs
vLLM
Prompt Engineering
Algorithm Design

Patent Attorney

Aug 2023 – Jan 2025
McBee, Moore & Vanik IP, LLCFrederick, MD
  • Secured patent protection for a variety of technologies
  • Managed worldwide prosecution for multiple clients
Patent Law
Intellectual Property
Legal Writing
Client Relations