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About

About Me

Background, experience, education, and the skills I use to ship reliable software.

Professional headshot of Darren Tang smiling, wearing a black suit and tie against a blurred modern building background.

Darren Christopher Tang

Software Engineer · AI Agent Engineer · Full-Stack Engineer

I'm a software engineer focused on building reliable full-stack products, AI-powered tools, and workflow automation systems. I am pursuing a Master of Science in Computer Science and Engineering at Santa Clara University (expected June 2027) after earning my Bachelor of Science in Computer Science from the University of Wisconsin–Madison.

I enjoy turning complex requirements into practical software that improves real workflows. My interests include full-stack engineering, AI agents, applied AI, automation, and data-driven applications.

MS CSE · Santa ClaraBS CS · UW–MadisonCurrently at VeracyteSan Francisco, CA

Highlights

Education and Career Highlights

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Master of Science in Computer Science and Engineering

Santa Clara University

Expected June 2027

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Bachelor of Science in Computer Science

University of Wisconsin–Madison

May 2025

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AI Agent Development Intern

Veracyte

June 2026 – Present

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AI Analyst

DataAnnotation

January 2026 – May 2026

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Software Engineer Intern

Sonic Engineering

May 2025 – August 2025

Experience

Experience

  1. AI Agent Development Intern

    June 2026 – Present

    VeracyteSouth San Francisco, CA

    • Developed and validated a Customer Care app with decision-tree QC flagging, targeting a 30% reduction in manual review time.
    • Building a background AI assistant with Claude Code, OpenAI Codex, and MCP to summarize order context and automate steps, targeting a 25% increase in case-handling throughput.
    • Collaborating in Agile Scrum on Salesforce CRM to TRAF field automation, targeting a 40% reduction in form preparation time.
  2. AI Analyst

    January 2026 – May 2026

    DataAnnotationFremont, CA

    • Developed containerized LLM workflows with Docker and Kubernetes, refining prompts, API calls, JSON schemas, and evaluation rubrics.
    • Evaluated 50+ model outputs for factuality, relevance, reasoning quality, and instruction adherence in RLHF and fine-tuning pipelines.
    • Ran A/B tests across models, MCP tools, and prompts to improve AI accuracy, tool use, and task completion.
  3. Software Engineer Intern

    May 2025 – August 2025

    Sonic EngineeringUnion City, CA

    • Refined CNC inventory workflows through iterative prototyping, improving tool lookup, material tracking, and tool-life monitoring.
    • Implemented a Java inventory service via Azure DevOps CI/CD using SQL and Java data structures to cut delayed reorders by 50%.
    • Collaborated with engineers and CNC operators across the SDLC to translate requirements into validated manufacturing features.

Skills

Skills

Languages

8
  • Java
  • Python
  • TypeScript
  • JavaScript
  • SQL
  • Flutter
  • HTML
  • CSS

Technologies

10
  • React
  • Next.js
  • Node.js
  • Spring Boot
  • FastAPI
  • PostgreSQL
  • REST APIs
  • Vite
  • Firebase
  • Firestore

Tools and Platforms

8
  • Git
  • GitHub
  • Docker
  • Azure DevOps
  • AWS
  • CI/CD
  • Agile
  • Salesforce

AI and Machine Learning

8
  • OpenAI
  • Anthropic
  • Claude Code
  • Codex
  • MCP
  • RAG
  • PyTorch
  • Cursor