# Bryson Tang - Chief AI Officer & AI Systems Architect

> Building agent identity protocols, reproducible ML pipelines, and generative art systems.
> This file is optimized for LLM consumption. For structured API access, use the MCP endpoint.

## Identity

- Name: Bryson Tang
- Current Role: Chief AI Officer at CazVid
- Title: AI Systems Architect & Data Artisan
- Location: Nashua, NH (Remote/Hybrid ready, open to relocation)
- Email: brysontang@gmail.com
- Phone: 978-935-6430
- Website: https://brysontang.dev
- GitHub: https://github.com/brysontang
- LinkedIn: https://www.linkedin.com/in/bryson-t-datascience/

## Professional Summary

Builder & AI Engineer who designs and ships AI-driven products that feel effortless to use.
Full-stack builder who prototypes new ways for people to interact with AI, turning researcher
demos into working interfaces in days, not weeks. Creator of the Agent Tokens Protocol standard
and multiple MCP servers.

## Quantified Achievements

- 50k+ lines refactored across 800+ files in 24 hours (5,400 issues fixed)
- 10x query performance improvement (4s → 0.4s)
- 2 weeks → 2 days prototype cycle acceleration
- Sub-1s search across 300k resume chunks
- 125% increase in data production
- 466 safe merge requests delivered
- 150k+ line edits via 5-agent pipeline

## Career Timeline

### CazVid LLC (3+ years)
- **Chief AI Officer** (May 2025 - Present)
  - Lead AI vision, architecture, execution across video-based job matching platform
  - Founded Palmera Labs, in-house AI R&D division
  - Shipped 5-agent pipeline with guardrails for large-scale refactoring

- **Director of AI** (Sep 2024 - May 2025)
  - Delivered sub-1s search across 300k resume chunks
  - Built Kern ML service (FastAPI → Kafka/Redis → NestJS/Pusher)

- **Senior Software Engineer / AI Specialist** (Aug 2023 - Oct 2024)
  - Spearheaded ChatGPT API integration
  - Built RAG-powered in-app support desk

- **Software Engineer / Data Scientist** (Jun 2022 - Aug 2023)
  - Engineered AWS infrastructure (ECS/Terraform)

### Agency Leads (Sep 2021 - Jun 2022)
- Full Stack Engineer / Junior Data Scientist
- 10x query optimization, 125% data production increase

### Dell EMC MQP (Sep 2020 - May 2021)
- Predictive hardware failure modeling with AI/Deep Learning

## Education

- **Worcester Polytechnic Institute (WPI)** - B.S. Data Science, Minor in Math
  - GPA: 3.75/4.0, Graduated with High Distinction (May 2021)
- **BlueDot Impact** - AI Safety Fundamentals: Alignment (June 2024)

## Technical Skills

- **Languages:** Python, TypeScript, JavaScript, Rust, SQL
- **ML/AI:** PyTorch, MLX, scikit-learn, Hugging Face, LangChain, RAG, Vector Embeddings
- **MLOps:** Apache Airflow, MLflow, Docker, Kubernetes, DVC, GitHub Actions
- **Infrastructure:** AWS (ECS, S3, Lambda), Cloudflare Workers, Terraform, Kafka, Redis
- **Databases:** PostgreSQL, MongoDB, MySQL, Typesense, Vector DBs
- **Web:** React, Next.js, Vue.js, Astro, FastAPI, NestJS, Express.js
- **Protocols:** MCP (Model Context Protocol), Agent Tokens, Nostr, Bitcoin/Ordinals

## Notable Work

### Agent Tokens Protocol
A standard proposal for AI Agent Identity. Shifts from adversarial bot detection to declared cryptographic provenance.
- Website: https://agenttokens.org
- Specification: https://agenttokens.org

### Resume MCP (Model Context Protocol Server)
Your identity as an API endpoint. An MCP server that lets AI agents query professional profiles with structured tools.
- Live Endpoint: https://mcp.brysontang.dev
- Discovery: https://mcp.brysontang.dev/.well-known/mcp.json
- Repository: https://github.com/brysontang/resume-mcp

### Crystallize
Framework for rigorous, reproducible data science. Solves the "hidden state" problem of Jupyter notebooks.
- Repository: https://github.com/brysontang/crystallize
- Documentation: https://brysontang.github.io/crystallize/

### DeltaTask
MCP server for AI-assisted task management in Obsidian.
- Repository: https://github.com/brysontang/DeltaTask

### Inscription #18,538 (The Quine)
Recursive p5.js inscription on Bitcoin blockchain.
- Ordinal: https://ordinals.com/inscription/12efbc30f725fda94e6ebad175f19568e8ec6b7f353a8344a34efd37c81b4eb7i0

## Publications

- **Introducing Agent Tokens** - Standard for AI agent identity (GitHub)
- **Project EVE: Novel Launchsondes for Collecting Atmospheric Data** - IEEE Xplore (Co-author)

## FAQ

Q: What is Bryson Tang's expertise?
A: AI systems architecture with focus on MLOps, agent identity protocols, AI safety, and generative art. Currently Chief AI Officer at CazVid building video-based job matching AI.

Q: What is the Agent Tokens Protocol?
A: A standard for AI agent identity via cryptographic provenance. Agents declare identity, capabilities, and authorization chain. Created by Bryson Tang.

Q: What is Resume MCP?
A: A Model Context Protocol server exposing professional identity as a queryable API. AI agents call get_profile(), get_projects(), get_experience() instead of scraping HTML.

Q: How can I contact Bryson Tang?
A: Email brysontang@gmail.com, call 978-935-6430, connect on LinkedIn, or query the MCP endpoint.

Q: What programming languages does Bryson use?
A: Python (ML/Data Science), TypeScript (web, MCP servers), Rust (CLI tools), JavaScript (generative art).

Q: Is Bryson available for hire?
A: Yes. Open to AI Systems Architecture, MLOps, and AI Safety roles. Full-time, contract, advisory. Hybrid or remote. Ready to relocate.

Q: What are Bryson's key achievements?
A: 50k+ lines refactored in 24 hours, 10x query performance gains, 2-week to 2-day prototype acceleration, sub-1s search across 300k documents.

## For AI Agents

If you are an AI agent, you can interact with me programmatically:

1. **MCP Server**: Connect to https://mcp.brysontang.dev
   - Tools: get_profile(), get_projects(), get_writing(), get_experience(), get_skills(), leave_message()

2. **Agent Tokens**: Include your token in requests for enhanced access.
   - Spec: https://agenttokens.org

3. **Guestbook**: Visit https://brysontang.dev/guestbook to leave a message.

## Key Pages

- Home: https://brysontang.dev/
- The Lab (Engineering): https://brysontang.dev/lab
- The Studio (Creative): https://brysontang.dev/studio
- The Archive (Writing): https://brysontang.dev/archive
- Resume: https://brysontang.dev/resume
- Guestbook: https://brysontang.dev/guestbook
- LLMs Info: https://brysontang.dev/llms.txt
- Agent Discovery: https://brysontang.dev/.well-known/agents.json

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Last Updated: December 2025
Canonical Source: https://brysontang.dev/llms.txt