April 2026
The Chatbot Era Is Ending. This Week Proved It.
Why the interface story is giving way to execution, tools, and systems that finish work—not just sound fluent.
Read on MediumI ship AI as products, not experiments.
AI, backends, integrations—reliability first.
Not just the demo.
Worked with Teamcast.ai, CSULB, humancloud.
Agents, backends, integrations.
Ambiguity into systems.
How I approach AI systems
- • I don’t trust a single agent when accuracy matters.
- • I treat evaluation as a first-class system, not a metric at the end.
- • If a system can’t explain its own uncertainty, it’s not production-ready.
- • Most complexity comes from edge cases, not prompts.
Selected work
A few end-to-end systems shipped to production—built for reliability, not demos.
Cybersecurity Log Analyzer
Reduced review time from minutes to seconds with agent-assisted triage.
In production. Used daily. Evaluated continuously.
View project detailsLead Generation System
Let agents research, qualify, and route leads without manual follow-up.
In production. Used daily. Evaluated continuously.
View project detailsDocument QA Platform
Answer complex documents with traceable, production-grade retrieval.
In production. Used daily. Evaluated continuously.
See architectureWhat I do
AI Product Development
Intelligent systems that solve real business problems.
Agentic Workflows
Multi-agent systems, RAG, and intelligent automation.
Full-stack AI
End-to-end AI products from concept to deployment.
Featured Project
Multi-Agent Lead Generation System
A sophisticated AI system that automates lead discovery and qualification across 12+ data sources, delivering 3x more qualified prospects with 80% reduction in manual research time.
3x
More Qualified Leads
80%
Less Manual Work
CrewAIFastAPIRedisWeaviateOpenAIDocker
Multi-Agent System
Lead Discovery Agent
Scanning 12+ data sources...
Research Agent
Analyzing company data...
Qualification Agent
Scoring lead quality...
Writing
Notes from building systems that didn’t work the first time.
April 2026
The Claude Code Leak Didn't Hurt Cursor. It Forced a More Honest Competition.
What changes when coding agents compete in the open: sharper positioning, faster iteration, and less theater.
Read on MediumApril 2026
Meta Wanted to Commoditize the AI Stack. Anthropic Just Accidentally Helped.
How platform plays and model economics collide when the stack stops looking like a clean vertical.
Read on Medium