Muhammad Ghulam J.

Anyone can put percentages on a profile. Mine come from baselines: I measure the starting point, build a scored test set from real data, and track the same metric after launch. Ask me on a call, and I will show you the measurement behind any number here.

My clients cut document search time by 70%, automated 80%+ of tier-1 calls, and drove a $340K pipeline with systems I built. I build production-grade RAG, AI agents, and chatbots on LangGraph, LangChain, n8n, Python, and FastAPI. Built to keep working after launch.

A US company runs its daily operations on a multi-agent platform I built, now past 1,000 hours in production. I hold the Claude Certified Architect credential from Anthropic, plus AWS, Azure, and GCP certifications, with 6+ years of ML foundations (Top 100 Global Kaggle Master). Every hour is delivered by me.

𝐏𝐑𝐎𝐎𝐅:

1. Enterprise RAG: Search time down 70%, retrieval precision up 75%, 8,000+ live queries daily.
   Skill set: Retrieval Augmented Generation, LangGraph, LangChain, Pinecone, pgvector, hybrid search, Ragas

2. Legal LLM, on-premises: Gemma 3 27B fine-tuned on 400K+ documents, 91% citation accuracy, zero hallucinated citations, 60% lower inference cost.
   Skill set: LLM fine-tuning, Gemma 3, QLoRA, DPO, vLLM, on-premises deployment

3. Voice AI: 80%+ of tier-1 calls handled end-to-end, under 1-second response, handle time down 45%.
   Skill set: Voice AI, LiveKit, Deepgram, ElevenLabs, Whisper, Retell, Vapi

4. HIPAA clinical AI: Grounded in the hospital's own clinical records, with human review before anything enters the chart. 91% factual accuracy, intake time down 27%, manual documentation down 48%.
   Skill set: RAG, Claude, PHI handling, AI guardrails, LangSmith, healthcare AI

5. Revenue agents: A multi-agent system that qualifies leads, runs follow-ups, and keeps the pipeline moving while the team sleeps. $340K pipeline in the first 6 months, 1.8x more qualified leads, 48% less manual sales ops, 900+ automated triggers firing daily.
   Skill set: Multi-agent orchestration, CrewAI, n8n, AI integration, CRM automation

6. Autonomous support: 1 system across 7 channels, handing off to a human the moment confidence drops. 61% of requests resolved end-to-end, average response 44% faster, engagement up 23%. Skill set: Conversational AI, AI chatbot, OpenAI API, n8n, intent routing