Independent Consulting
Ship your AI system —
not just a pilot.
I'm Girish Prasad Sahu — independent AI consultant with 17+ years building production-grade systems. I help companies design and deliver MCP agents, RAG pipelines, and LLM architecture that holds up at scale. Founder of Ajatus Software, scaled to 50 engineers. Most recently Lead Architect at TransUnion CIBIL.
Services
How I Work With You
Production AI Implementation
Full-cycle design and delivery of AI systems that run in production — MCP agents, RAG pipelines, LLM orchestration, and the infrastructure around them. Not a prototype. A system that holds up.
- Architecture design & technology selection
- MCP server development and integration
- RAG pipeline design with vector store selection
- Production deployment, monitoring, and handover docs
AI Strategy & Architecture Review
One-off deep-dive into your current AI architecture or roadmap. I identify the gaps, risks, and what to build next — based on 17 years of production systems experience and hands-on AI implementation.
- Current architecture audit with written findings
- Risk and gap analysis
- Prioritised build roadmap
- Model and infrastructure recommendations
Fractional AI CTO
Ongoing technical leadership for companies that need senior AI architecture guidance without a full-time hire. I work alongside your team, review decisions, unblock critical problems, and keep your AI direction coherent.
- Weekly architecture and strategy sessions
- Code and design reviews
- Vendor and model selection guidance
- Engineering team mentoring
Case Studies
Problems Solved
Giovani Textile, Thailand
Problem
Business team could not access operational data without developer help. Each query took 1–2 days of back-and-forth.
What I Built
Production MCP agent on Claude connected to live PostgreSQL. ChromaDB schema embeddings for natural-language query understanding. Zero developer involvement in the query path.
Result
Business team runs 20+ queries per day against production data in plain English.
TransUnion CIBIL
Problem
Client inquiry analysis and root cause investigation required manual Splunk and Solr log review — slow, error-prone.
What I Built
RAG pipeline connected to Splunk and Solr consoles. LLM-orchestrated root cause analysis with MoM variance tracking.
Result
Analysis time reduced from hours to minutes. Deployed under strict RBI compliance.
E-Challan (State Government)
Problem
Manual traffic violation review across hundreds of camera feeds — impractical at scale.
What I Built
Custom YOLOv5 model trained from scratch. FastAPI inference APIs with RabbitMQ image queue. Integrated with Parivahan for automated challan generation.
Result
Real-time violation detection pipeline. Automated challan generation end-to-end.
FAQ
Common Questions
Do you work with early-stage startups or only enterprises?
Both. I have worked with solo founders building their first AI product and enterprise teams at Flipkart, IndiGo, and TransUnion CIBIL. The engagement structure adapts to your stage.
What does a typical engagement look like?
Most project engagements run 4–8 weeks. We start with a scoping call, agree on deliverables, and I work in focused sprints. You get working software, architecture documentation, and a handover — not slide decks.
Can you work with our existing engineering team?
Yes. Most engagements involve working alongside your developers — reviewing code, unblocking architecture decisions, and transferring knowledge so your team owns the system after I leave.
What tech stacks do you work with?
Python, Node.js, Java, TypeScript on the backend. PostgreSQL, ChromaDB, MongoDB for data. Anthropic Claude, OpenAI, Ollama, Gemini for AI. AWS for infrastructure. I pick the right tool for the job, not the familiar one.
Get in Touch
Ready to start?
Describe your project — what you're building, where you're stuck, or what you want to achieve. I reply within 24 hours.
Connect
linkedin.com/in/girishprsahu