Simon (Edison) Xu

Software Engineer, AI/ML

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Experience

Software Engineer (AI/ML team)

Highmark Inc.

Aug 2024 - Present

Build production AI systems spanning real-time training, agent lifecycle management, evaluation, and enterprise retrieval.

  • Shipped a real-time AI call-center training platform with configurable voice roleplays, reducing new-hire ramp-up time by 28%.
  • Designed an LLM-as-judge system calibrated on human-scored transcripts for reliable coaching feedback.
  • Built an AI-agent lifecycle control plane with versioned registry metadata, policy gates, durable evaluation runs, GitLab promotion, and production observability.
  • Architected a planner-executor-judge evaluation harness with holdout suites for quality, safety, latency, and cost regressions.
  • Engineered a Vertex AI Search workspace with metadata-filtered retrieval, configurable chunking, and citation-linked answers for private datastores.

React, FastAPI, WebSockets, LLM-as-Judge, Multi-Agent Evaluation, RAG, Vertex AI Search, GitLab

Software Engineer Intern (AI/ML team)

Highmark Inc.

May 2024 - Aug 2024

Built retrieval, model access, and multimodal capabilities for internal enterprise AI products.

  • Developed a Flask RAG system with embeddings and Gemini for source-grounded policy answers and document summaries, cutting search time by 70%.
  • Engineered a fault-tolerant internal LLM API gateway with automatic retries and structured request logging.
  • Built a multimodal React and FastAPI assistant on Vertex AI for text, PDF, image, and voice workflows on a platform handling 6M+ annual prompts.

React, FastAPI, Flask, Vertex AI, Gemini, RAG, Embedding Models

Education

Master of Science in Computational Science & Engineering

Georgia Institute of Technology

2022-2024, December 2024

Bachelor of Arts in Applied Economics

University of California - Santa Barbara

2019-2021, March 2021

Skills

Applied AIRAG, Multi-Agent Architecture, LLM-as-Judge, Embedding Models, Fine-tuning, Harness Engineering

LanguagesPython, TypeScript, JavaScript, Java, Go, SQL

WebReact.js, Vue.js, Next.js, FastAPI, Flask, Node.js

Cloud and dataPostgreSQL/pgvector, Redis, Kafka, Docker, Kubernetes, CI/CD, AWS, GCP

Selected projects

Conductor: Distributed Multi-Agent Workflow Runtime

A Kubernetes-native Go runtime for crash-resumable, multi-agent LLM workflows with durable execution, distributed scheduling, and event-sourced observability.

Engram: Cross-Session Memory MCP for AI Coding Agents

A Python MCP memory harness that carries decisions, project facts, and preferences across AI coding sessions while detecting stale or conflicting context.

FigBrain: Figma Multi-Agent Plugin

An MCP-powered Figma agent built for the Microsoft AI Hackathon, using a LangGraph supervisor and ReAct tool loops to turn natural-language prompts into FigJam components.