Stop Leaking Revenue to Inefficient Workflows.
I build secure, self-hosted AI agents that connect your existing mess of data (PDFs, SQL, Invoices, Emails) to your daily operations. No migration required.
def run_agent(doc):
data = ai.extract(doc)
if data.confidence > 0.9:
return db.save(data)
return flag_for_review() {
"status": "verified",
"amount": 12500.00,
"risk_score": 0.0,
"source": "inv_01.pdf"
} ROI First, Code Second.
I don't build "chatbots." I build systems that impact your P&L.
async def extract_invoice(pdf): data = await parse(pdf) return validated_data
Automate "The Grunt Work"
Eliminate manual data entry. Whether it's Invoice Extraction, RFP Responses, or Compliance Checks, I build agents that read documents faster than humans.
def verify_source(text): if confidence < 0.95: return "flag_review"
Zero-Hallucination Guarantee
My RAG systems cite every single source (PDF page & paragraph). If the AI isn't 100% sure, it flags it for human review. Perfect for Legal, Engineering, & Finance.
Deep Integration
Your data doesn't live in a chat window. I connect AI directly to your PostgreSQL, Salesforce, and Outlook to trigger real actions.
Works with your existing mess.
Most consultants want you to migrate to their platform. I don't. I build the "Glue Layer" on top of the tools you already use.
Recent Engineering Challenges
I build complex systems.
The "Asset Manager" Brain
Financial Services RAG Pipeline
Indexing 5,000 pages of Financial Market outlooks for instant retrieval.
Built a Python RAG pipeline with vector search and citation tracking.
Search time reduced from 20 mins to 3 seconds
The "Indie" SaaS Architecture
Multi-tenant AI Platform
Handling multi-tenant payments and AI context for 1,000+ users.
Next.js + Supabase + Stripe Integration with row-level security.
Scalable architecture supporting concurrent AI requests with isolated user contexts.