Jeremy Bischoff

Jeremy Bischoff

Software & AI engineer. Founding engineer at WarmApp, an AI coaching mentor for gymnastics and calisthenics. Former NCAA gymnastics champion and USA national team member.

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Jeremy Bischoff
About

About

WarmApp

An AI coaching mentor for calisthenics and gymnastics athletes. It programs personalized workouts, guides each session, remembers your training, and adapts the next session based on what came before. Built on the methodology of my Olympian co-founder Ruben Lopez: the same system I trained under at Stanford and the one behind various world champions and Olympians. We've spent the last year codifying it into software.

I built the agent architecture, memory system, and product design and interface.

Try it at warmapp.ai
Jeremy Bischoff at Stanford holding NCAA championship rings

Background

  • Stanford University: B.S. in Computer Science (AI Track), Minor in Management Science & Engineering
  • Elite Gymnast: 4x NCAA Champion, All-American, USA National Team Member, Olympic Trials Qualifier

Current Position

Software Engineer, Raellic R&D / Watters & Jacobs, LLP

  • Co-designed and built MOSAIC, a covert-channel system: file fragmentation across email headers, companion-detection heuristics, and reconstruction pipeline. Co-authored the white paper; demonstrated to the FBI.
  • Designed and built an internal, secure firm operations platform — email, calendar, billing, time tracking, financials, document handling, and case management in one in-house system.
  • Named co-inventor on a utility patent pending. Filed with the USPTO in 2026.

Experience

Applied AI Engineer, Seagull Work, Inc. / Imantics, Inc.

  • Built an offline-capable electronics design agent that converts a high-level block diagram into a validated netlist, voltage rails, regulator selection scored on current headroom and lifecycle, BOM, and SVG schematic. Exposed as a REST API for use by an upstream architect agent.
  • Built a multi-LLM business development system (Gemini + Perplexity) that ingests inbound form submissions and outbound CSV lists, scores them against natural-language criteria, and generates personalized email sequences. Extending the same engine to qualify clients and prospective hires.
  • Authored a research paper evaluating low-code workflow platforms (n8n, Knime, Databricks) for autonomous AI agent development; led the team's selection and implementation strategy.

Software Development Intern, Seagull Concepts, LLC

  • Software development for electronic schematic visualization.
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How I Build

I turn expert workflows into production AI agents. Each one trained to the standard I learned in elite gymnastics: every tenth matters.

  • Honest. The agent admits what it doesn't know.
  • Anchored. It fits the expert's existing workflow.
  • Minimal. Every surface earns its place.
  • Refined. The edge cases are the bar.
  • Durable. Learns from every case it sees.