// technical fellow & solutions architect
Building AI Agents That Let Small Teams Do Big Things
I help early-stage startups scale to 100M+ calls without the 100-person overhead. Enterprise architecture on a shoestring budget — backed by 40+ years of building and scaling systems.
// about
Background
I'm a hands-on product and engineering executive with over four decades of experience building software systems — from bare-metal infrastructure to cloud-native platforms to AI-powered automation. My career spans enterprise architecture, startup CTO roles, and engineering leadership across fintech, e-commerce, and developer tools.
I've built and led globally distributed, 100% remote engineering organizations, and I'm a strong believer that the best teams are built on mentorship, trust, and asking the right questions — not micromanagement.
These days, I'm focused on the intersection of AI agents and startup efficiency. I believe small, well-tooled teams can outperform organizations ten times their size when they leverage intelligent automation strategically. This conviction led me to build Kaigents, a production-grade substrate for operating AI agent teams in complex enterprise environments.
Based in Pasadena, California, I work with founders and engineering teams to design and build AI agent systems that handle the work of entire departments — letting humans focus on the creative, strategic work that actually moves the needle.
// quick facts
Programming
Languages
Certifications
// focus areas
What I Work On
AI Agent Engineering
FeaturedDesigning and building autonomous AI agent systems that handle complex workflows — from LLM orchestration and tool use to RAG pipelines and multi-agent coordination.
System Architecture
Crafting scalable, maintainable architectures for products that need to grow. Microservices, event-driven systems, and cloud-native infrastructure designed for real-world load.
Data Engineering
Building data pipelines and ML infrastructure that turn raw information into actionable intelligence. From ETL to real-time analytics to ML model deployment.
Engineering Leadership
Building and scaling engineering teams that ship great software. Mentorship, technical strategy, and creating cultures where engineers do their best work.
// engineering advisory
How I Work With You
Four services across the startup lifecycle — from pre-seed technical co-founding through post-Series B transformation. All backed by 40+ years of engineering judgment and AI-accelerated delivery.
// the shared differentiator
Every engagement is backed by the same combination: 40+ years of software engineering, 25 years of engineering management, and Kaigents — a production-grade AI agent platform I built and run. This is engineering judgment backed by deployed infrastructure, not AI consulting backed by slide decks. The value equation: $300K–$500K quality of output at $30K–$75K engagement cost.
// projects
What I'm Building
TeamKnowl
ActiveA Kubernetes-native, Git-driven knowledge base platform. Features an Obsidian-like experience with sharded indexing and S3-compatible storage (CEPH) for AI + Human teams.
Impact
Enables horizontally scalable, self-healing shared memory for autonomous AI agents and engineering teams.
CodeKnowl
ActiveOn-prem, local-first codebase analyst that provides a structured relationship store and knowledge base for high-parallelism AI agent workflows.
Impact
Provides deep codebase understanding with citations, enabling AI agents to reason accurately about complex systems.
AI Agents for Startup Automation
ActiveA suite of autonomous agents handling operational workflows from customer support triage to internal knowledge management.
Impact
Reduces operational overhead by 40%, letting lean teams punch 10x above their weight.
Kaigents
ActiveA production-grade, Kubernetes-native substrate for operating AI agent teams. Built for low TCO on AMD Ryzen AI hardware with durable execution via Temporal.
Impact
Provides the enterprise-grade visibility, durability, and governance needed to move AI agents from prototype to production at scale.
AMD Ryzen Monitoring in Linux
ActiveHigh-performance Rust CLI tool for real-time AMD Ryzen AI NPU telemetry and AI workload optimization.
Impact
Enables hardware-aware AI workload scaling for edge and local processing.
Enterprise IoT Infrastructure
MaintainedArchitected high-availability systems for real-time asset tracking and IoT telemetry.
Impact
Supports 100k+ devices with sub-second latency and five-nines reliability.
// contact
Let's Connect
I'm always interested in talking with founders building ambitious products, engineers solving hard problems, and anyone thinking about how AI agents will reshape how we work.