I’m Anderson
About
I build AI that verifies what it claims.
Founder and engineer with 5+ years building AI-driven products end to end. I co-founded WYEA, a legal technology firm building verified, grounded AI systems for law practices, and serve as Principal ML/AI Engineer at VybeOS, the AI-native creative operating system for modern brands. Before that: engineering through Autopilot’s growth from a $20M to a $100M valuation, co-founding Real Hire to 10,000+ users and $300K in seed funding, and ML frameworks at Wells Fargo.
Experience
Where I’ve delivered.
Co-founded WYEA and took it from zero to live production deployments at multiple California law firms — each firm on its own isolated instance, integrated with its own document management and identity systems
Eliminated AI hallucination from legal output with a verified-citation architecture: every assertion is grounded in an exact quote from a source document or flagged as unverifiable, so nothing unsupported ever reaches an attorney
Cut days of manual litigation work to minutes for California civil practice — discovery responses, motion drafting, and filing packages generated with per-statute checks that catch defects before anything is served or filed
Principal engineer through VybeOS's growth from zero to $14M in revenue — the ML systems turning a brand's voice, visual identity, and performance data into on-brand content generation across every channel
Built the brand-memory infrastructure that keeps generated content in-voice and on-identity, so brands scale output without diluting what makes them recognizable
Closed the loop between creative and results: analytics pipelines feed campaign performance back into generation, so every asset produced is informed by what actually converted
Zipd
Founder
Took an applied-AI product from concept to production single-handedly — full product, ML stack, and cloud infrastructure shipped and operated end to end on GCP
Wound down operations in 2026 to focus on WYEA
Autopilot Investments
Senior Software Engineer (ML/InfoSec/Performance Calculation Services)
Core engineer through Autopilot's growth from a $20M to a $100M valuation — owned the performance analytics infrastructure serving every investment product with real-time metrics and dynamic rebalancing
Delivered $500K+ in annual savings and a 67% computation reduction by modernizing legacy systems onto Timescale infrastructure
Cut support tickets 40% with MCP server infrastructure for AI-driven compliance automation
Rebuilt the mission-critical asset quote microservice from NestJS to Rust, achieving 99.9% uptime
Led development of recruiting SaaS platform scaling to 10,000+ users and securing $300K in Seed funding
Architected robust backend with Node.js, Python, Rust, and MongoDB achieving 99% uptime
Built NLP-driven resume parsing system reducing manual review time by 70%
Developed AI matching algorithms increasing user engagement by 35% and reducing placement times by 20%
Wells Fargo
Machine Learning Engineer
Developed PyTorch ML framework for generative AI models supporting 100+ developers
Designed ML algorithms reducing annual loan collection losses by $3M with 20% accuracy increase
Built real-time anomaly detection system reducing fraudulent transactions by 30%
Optimized data pipelines with Kafka and Airflow reducing latency by 40%
Selected work
Unique. Intentional. Mine.
Contact
Let’s build your next big thing
No pressure — just a real conversation about what you’re building.