January 2026
Google Is Betting On You. OpenAI Is Betting On Everyone
A perspective on how big tech bets shape builders, talent, and the future of AI distribution.
Read on MediumSiddhant Patil
I build agentic AI systems that replace manual work,
not demo well and die later.
I design, debug, and ship production-grade LLM systems where reliability, evaluation, and failure handling actually matter.
Most AI projects fail after the first demo. I focus on the part that comes after.
Worked with Teamcast.ai, CSULB, humancloud.
I work at the intersection of agentic workflows, retrieval systems, and backend engineering.
My job is turning ambiguous problems into systems that run without babysitting.
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.
Teamcast.ai
Reduced time-to-shortlist by letting agents disagree before deciding.
In production. Used daily. Evaluated continuously.
Visit Teamcast.aiCybersecurity 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 detailsTools I actually use
I pick tools based on failure modes, not hype.
LLMs & agents:OpenAI, LangChain, CrewAI
Retrieval:Weaviate, FAISS, Postgres
Backend:FastAPI, Redis, Docker
Infra:AWS, CI/CD, monitoring
What 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.
January 2026
DeepSeek’s Engram Is a Bigger Deal Than Bigger Models
Why memory and retrieval breakthroughs may matter more than sheer model size.
Read on MediumJanuary 2026
GLM-4.7 and the Big Three
Comparing frontier models and what the next tier of capabilities means for teams.
Read on MediumAbout
I’m an AI engineer focused on shipping systems that survive contact with real users. I care more about reliability than cleverness, and more about outcomes than demos.
More about how I work →