Umair A.

AI Engineer. I ship production LLM apps (RAG, agents, OpenAI integrations) for SaaS founders.

$400K+ earned on Upwork · 100% Job Success · 14,000+ billable hours · Top Rated Plus (Top 3%)

Available in US Eastern business hours so your 9 AM meetings work perfectly.

✅ Production AI I've shipped:

1. RAG pipelines with vector retrieval, re-ranking, and eval harnesses
2. Multi-step AI agents using LangChain, LangGraph, and custom orchestration
3. OpenAI, Claude, and Gemini integrations with model-agnostic fallbacks
4. Voice AI with ElevenLabs, MCP servers, Google Agentspace, A2A
5. Token cost controls, prompt-injection guardrails, hallucination monitoring

✅ Best fit if you're thinking:

1. "My OpenAI bill is spiraling and I need it controlled without losing quality."
2. "My RAG retrieval returns irrelevant chunks. The answers are wrong."
3. "My AI agent loops, times out, or breaks on edge cases."
4. "I need to move from prototype to production but don't know how to scale LLM calls."
5. "I want to swap models (OpenAI, Claude, Gemini) without rewriting my stack."
6. "I need evals and monitoring, not vibes-based testing."

✅ Stack:
GenAI: LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, ElevenLabs, MCP, A2A, Google Agentspace
Backend: Python (FastAPI, Flask, Django), Node.js, .NET Core
Frontend: React, Next.js, Angular
Cloud: AWS (Lambda, API Gateway, ECS, Step Functions, RDS), Docker
Data: PostgreSQL, MongoDB, DynamoDB, Pinecone, Weaviate, PGVector

✅ SaaS products I've built or contributed to (10k+ active users):
C60 AI (LLM-driven product features), Pabau (full-stack plus AI features), Lingvano, OpenTherapy, NurseIO

✅ What working with me looks like:

1. Token cost and latency projections before we build
2. Evaluation harness for retrieval accuracy and response quality
3. Model-agnostic architecture so you can swap providers
4. Guardrails against prompt injection, hallucination, and runaway costs
5. Production monitoring (cost, latency, quality) from day one

📞 Book a 30-min consultation to scope your project.