Tibor Thompson

Full-Stack AI Engineer | Founding Team Experience | Stanford CS '24

Full-stack software engineer specializing in AI infrastructure and production LLM applications. Early engineer at venture-backed AI startups, shipping agentic platforms and RAG systems from concept to scale.

Chat with Orbit, my AI agent, in the bottom right or call +1 (877) 344-0719

Agentic AI Multi-Agent Systems RAG Systems Production LLMs

Work Experience

ProphecyGov

Software Engineer

2025
  • Architected and shipped AI research citation engine with self-evaluating confidence scores and fuzzy matching algorithms
  • Built LLM-as-judge evaluation system (inspired by Anthropic methodology) for automated quality assessment of orchestrator agent
  • Engineered SQL-based agent action framework enabling complex database operations through natural language interface
  • Optimized vector search with advanced filtering systems, improving retrieval precision across large document repositories
  • Led technical demonstrations at industry conferences

Vanilla AI

Software Engineer (Founding Team)

2024-2025
  • Sole engineer on founding team: architected and shipped complete AI receptionist platform from concept to production
  • Built scalable AWS infrastructure with CI/CD pipelines and comprehensive testing, maintaining 24/7 uptime for live customer-facing AI agents
  • Designed and launched contractor-matching MVP; presented technical architecture to investors as founding technical lead
  • Launched production platform with live AI agents handling voice calls and payment processing

Stanford University

AI Research Contributor

2023-2024
  • Published research at NeurIPS on automating digital workflows using Vision-Language Models (VLMs)
  • Contributed to dataset generation, testing, and model validation
  • Project focused on developing AI tools for enterprise workflows using the WONDERBREAD benchmark

Kaladin Inc.

Software Engineer Intern

2023
  • Designed and implemented cryptocurrency algorithmic trading system with supervised learning
  • Conducted backtesting simulations on historical data to refine strategies for testnet deployment
  • Integrated REST APIs for real-time market data and built front-end visualization tools
  • Represented company at 3 industry conferences, gathering user feedback to inform product roadmap

Skills & Technologies

Backend & Infrastructure

Python Flask FastAPI PostgreSQL REST APIs AWS EC2 Docker GitHub Actions

Frontend

Next.js TypeScript React.js JavaScript

AI & Machine Learning

OpenAI LangGraph Google Gemini Pinecone PyTorch TensorFlow RAG Multi-agent orchestration LLM-as-judge evaluation NLP Supervised Learning Reinforcement Learning Graph Neural Networks

Cloud & DevOps

AWS Google Cloud Automated testing Observability Production deployment CI/CD

Additional Languages

C++ C Solidity Flutter/Dart SwiftUI