Available for Hire — Open to Remote & Full-Time Roles

Build Production AI Systems that work at scale.

Syed Muhammad Mehmam — AI Engineer with 3+ years of production experience in LLMs, RAG pipelines, LangGraph agents, and Computer Vision. I built a healthcare intelligence platform processing 500+ sessions/month and reduced documentation time by 60%.

LangChain LangGraph ChromaDB YOLOv8
3+Years Production AI
500+Sessions/Month
60%Doc Time Reduced
Syed Muhammad Mehmam
Design
Code
Ideas
AI Engineer

I build LLM chatbots, RAG pipelines, and LangGraph agents that work in production — not just demos.

3+ years building production AI systems for healthcare, manufacturing, and enterprise clients. I specialize in making LLMs reliable, observable, and cost-efficient at scale.

At Xloop Digital Services, I built a healthcare intelligence platform processing 500+ clinical sessions per month — reducing documentation time by 60%. I also optimized a diarization pipeline from 17 minutes to 5 minutes using FastWhisper, and built a real-time factory surveillance system using YOLOv8.

LLM & RAG Engineer

Build RAG pipelines with LangChain, ChromaDB, and Groq LLM.

LangGraph Agent Dev

Stateful AI agents with tool calling and LangSmith monitoring.

Computer Vision

YOLOv8 object detection APIs with OpenCV and FastAPI.

Production APIs

FastAPI backends with Docker, cloud deployment, and monitoring.

BS Computer Science

Sir Syed University of Engineering and Technology — CGPA 3.54

Data Scientist

OCR pipelines, time-series forecasting, predictive models at ArtisticMilliners.

AI Engineer

LangChain, LangGraph, LangSmith, YOLOv8, RAG pipelines at Xloop Digital Services.

AI Engineer

Freelance AI projects — LangGraph agents, RAG chatbots, Computer Vision APIs.

What I Can Build For You

Production-ready AI solutions — not just prototypes

RAG Document Chatbots

Chat with your own documents — PDFs, manuals, knowledge bases. Powered by LangChain + ChromaDB with source-cited answers.

  • Semantic search + citations
  • FastAPI production backend
  • Multi-document support

LangGraph AI Agents

Stateful agents that reason, call tools, and execute multi-step workflows automatically using LangGraph with conditional routing.

  • Tool calling + memory
  • LangSmith observability
  • Custom tool integration

Computer Vision APIs

Real-time object detection systems using YOLOv8 — people, vehicles, custom objects — deployed as a production FastAPI.

  • 80 COCO classes + custom
  • Bounding boxes + scores
  • Image and video support

How I Work

A proven, end-to-end process for delivering production AI solutions.

Consultation

Deep dive into your business needs, data, and desired outcomes.

AI Strategy

Selecting optimal LLMs and designing RAG or agentic architectures.

Development

Rapid, iterative building with production-grade documented code.

Deployment

API deployment, LangSmith monitoring, and handover with full docs.

Projects

Production-ready AI systems with full source code, documentation, and live demo videos.

Skills

Core strengths across LLM engineering, computer vision, and production AI systems.

LLM & RAG Engineer

LangChain, ChromaDB, Groq, Sentence Transformers — building document chatbots with source-cited answers.

LangGraph Agents

Stateful agent graphs with conditional routing, tool calling, memory, and LangSmith production monitoring.

Computer Vision

YOLOv8, OpenCV, FastWhisper — real-time detection APIs and audio processing pipelines.

Production APIs

FastAPI, Python, Docker, AWS S3, Azure — deploying and monitoring AI systems at scale.

Also: PostgreSQL, Git, LangSmith, Hugging Face, Azure AI, AWS Bedrock, and data quality frameworks.

Resume

View my resume or download the PDF.

Why Work With Me?

Production experience — not just tutorials and demos.

Proven

Production Experience

I've shipped AI systems processing 500+ sessions/month in healthcare — real production systems with real users, not side projects.

Fast

Agentic Intelligence

I build LangGraph agents that reason, call tools, and complete multi-step tasks — with LangSmith observability to track every run in production.

Clean

Documented Code

Every project comes with full source code, setup instructions, and documentation — so your team can maintain and extend it independently.

Let's build with AI

Need a RAG chatbot, LangGraph agent, or Computer Vision API? Share your use case and I'll get back within 24–48 hours.

Contact Info

For any inquiries, please contact me via email.

Project Inquiries

For engagements, collaborations, and consulting.

Preferred Contact

Email is best for initial scoping or use LinkedIn.

Happy to schedule a call after your message.

Location & Availability

Remote — Worldwide

Replies within 12–24 hours (business days)