About

Experience

• 2021 — present
  Senior Lead AI/ML Engineer

  Booz Allen Hamilton · Philadelphia, PA

  • Lead AI on an edge agentic-AI program to reduce operator cognitive load in contested environments — on-device small-language-model (SLM) agents autonomously control drones to fly to objectives, identify mission-relevant objects en route, surface alerts to operators, and dynamically reprioritize the mission as new observations arrive. The SLMs run on hardened edge GPUs and interface with operators via ATAK.
  • Architecting a high-fidelity modeling-and-simulation environment to run reinforcement learning on the agent stack, enabling continuous improvement of reasoning and tool selection without field-test overhead and letting operators war-game with the agents before live deployment.
  • Served as the AI/ML lead on a $10M Other Transactional Authority (OTA) capture from the Defense Innovation Unit (DIU) to perform bio-surveillance for the Defense Health Agency (DHA).
  • Developed a technique to reverse-engineer blackbox AI models using adversarial AI.
  • Co-authored a paper dissecting DeepSeek's R1 model and providing firm-wide guidance on foreign LLMs.
  • Researched and implemented novel AI/ML techniques primarily focused on LLMs and reinforcement learning, including two GitHub-based LLM agents to streamline the software development lifecycle, and a state-of-the-art transformer-based multimodal deepfake detection model demoed to the DIU.
  • Created a specialized RAG pipeline for writing proposals to contracts that was presented to Booz Allen's C-suite.
  • Performed research in differential privacy, and managed an HPC compute environment that's used for Booz Allen's most compute-heavy, on-prem workloads.
  • Recognized as the company's “AI Rising Star” for 2025.
• 2020 — 2021
  Business Analyst

  Streamliners Management Consulting · Wilmington, DE

  • Specialized in mathematical optimization models using Python.
  • Expanded a warehouse optimization system across the Northeast region.
• Summer 2020
  Research Assistant, Astrophysics

  Villanova University · Villanova, PA

  • Developed a data pipeline for astrophysical time-series classification.
  • Implemented unsupervised neural networks and clustering algorithms.

Education

• In progress
  M.Eng. Scientific Computing (Applied AI)

  University of Pennsylvania · Philadelphia, PA
• May 2021
  B.S. Astrophysics & Mathematics

  Villanova University · GPA 3.79 / 4.0

  • Minors in Business and Physics.
  • Dean's List, all semesters.
  • Sigma Pi Sigma (Physics) · Pi Mu Epsilon (Math) · Phi Beta Kappa.

Technical Proficiencies

AI / ML

PyTorch, Tinygrad, GenAI, LLMs, RAG, Adversarial AI, Reinforcement Learning

Programming

Python (expert); C, C++, Java, JavaScript (familiar)

Infrastructure

HPC management, Slurm, Kubernetes, Linux/UNIX, Windows, macOS, AWS, GCP, Azure

Tools

MS Office, Tableau, Palantir Foundry, LangChain, LlamaIndex, PyTorch Lightning, Optuna, Docker

Contact