Computer Science + Applied Physics @ UMD

I build rigorous systems that feel intuitive for real people.

I am Jake Frischmann, a Computer Science and Applied Physics student at the University of Maryland focused on ML, robotics, and educational tooling. I care about turning complex constraints into clean experiences users can trust.

What I Build

Applied ML systems, interactive tools, and full-stack products with clear UX and maintainable architecture.

How I Work

Research-minded and user-aware: I test assumptions, document tradeoffs, and ship clean implementations.

Where I Contribute

Mentoring, hackathons, study groups, and cross-functional teams where communication matters as much as code.

Featured Case Studies

These projects show my range across product engineering, research-oriented ML, and hardware-software prototyping.

Apps/Tools

Orbit UMD

Academic planning platform for UMD students with degree audit flows, four-year plan tooling, and a stakeholder-friendly demo mode.

  • SvelteKit
  • TypeScript
  • Supabase
  • GitHub Actions
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Apps/Tools

Henson Day AR App

iOS AR scavenger hunt for a live university initiative with external stakeholders and on-campus presentation requirements.

  • SwiftUI
  • SwiftData
  • RealityKit
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ML/AI

BlokusDuo ML Agents

Research-driven self-play framework combining PPO and MCTS with CNN-based policy/value modeling for strategic board-game agents.

  • Python
  • PyTorch
  • PPO
  • MCTS
  • CNN
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Current Focus

I am preparing for Summer 2026 internships in software engineering, ML, research, and adjacent technical roles. Long-term, I want to engineer systems that positively shape how people learn, build, and make decisions.