BS Computer Science
Sir Syed University of Engineering and Technology
Available for Hire - Open to Projects & Full-Time Roles
Build AI Agents that solve real business problems.
Syed Muhammad Mehmam — AI Engineer specializing in LLMs, RAG pipelines, and autonomous AI agents. I help companies automate complex workflows and unlock the value in their data with production-ready AI solutions.
LangChain
LangGraph
Vector DBs
Cloud AI
5+
AI Projects
24-48h
Response Time
100%
Remote
Design
Code
Ideas
AI Engineer
I design intelligent AI agents and RAG pipelines that turn enterprise data into actionable intelligence.
I build Generative AI solutions that seamlessly integrate LLMs with vector databases like Pinecone and Weaviate—ensuring every workflow is scalable, efficient, and AI-native.
Recently, I delivered an AI-powered RAG data pipeline that automated insights extraction from complex datasets, empowering teams with smarter, context-aware decision-making.
AI Engineer
Build LLM-powered applications and agents.
Gen AI Developer
RAG pipelines and prompt engineering.
AI Data Infrastructure
Scalable ETL, Vector DBs & Knowledge Graphs.
Machine Learning Engineer
Production-grade Predictive & Generative Models.
Data Scientist
Predictive models and time series models.
AI Engineer
Python, LangChain, LangGraph,LangSmith, VectorDBs related ETL pipelines
Sr. Gen AI & Cloud AI Engineer
Architecting Enterprise AI Agents & Cloud Data Platforms.
What I Can Build For You
Specialized AI solutions that automate workflows, unlock insights, and scale your operations
Autonomous AI Agents
Beyond simple chat—developing autonomous agents using LangGraph that can browse, use tools, and execute logic independently.
- Multi-agent orchestration
- Self-correcting RAG loops
- Tool & API integration
Enterprise RAG Pipelines
Architecting production-grade retrieval systems with sub-second latency, integrating Vector DBs and hybrid search.
- Advanced chunking strategies
- Semantic & keyword hybrid search
- Metadata-filtered retrieval
LLM Customization
Optimizing models for vertical-specific tasks through RAG-based fine-tuning and advanced prompt engineering.
- Domain-specific prompt tuning
- Model evaluation & benchmarking
- Cost-efficient token optimization
How I Work
A proven, end-to-end process for delivering high-impact AI solutions.
Consultation
Deep dive into your business needs, data architecture, and desired outcomes.
AI Strategy
Selecting optimal LLMs and designing robust RAG or agentic architectures.
Development
Rapid, iterative building using CI/CD pipelines and production-grade code.
Deployment
Cloud integration, monitoring, and scaling to ensure long-term ROI.
Projects
A curated collection of enterprise-grade AI and Gen AI engineering projects — ranging from autonomous RAG agents and LLM fine-tuning to high-scale cloud data platforms. Click a card to view the repository or explore the project overview.
- All
- AI Project
- Gen AI Project
- Cloud Project
Skills
Core strengths across Gen AI engineering, warehousing, and analytics—focused on building scalable, reliable, and cloud-based data solutions.
AI & Gen AI Engineer
Developing RAG pipelines, fine-tuning LLMs, and building intelligent agents with LangChain and LlamaIndex.
Gen AI Engineering
ETL/ELT design, vector database management (ChromaDB), and scalable data processing pipelines.
Cloud AI Services
Experience with OpenAI API, Azure AI, AWS Bedrock, and deploying models on cloud infrastructure.
Machine Learning
Predictive modeling, deep learning, and MLOps for production-grade AI applications.
Also: SQL Server, PostgreSQL, DataBricks, Spark optimization, version control (Git), and data quality frameworks.
Resume
View my resume or download the PDF.
Why Work With Me?
I combine deep AI research with production-grade engineering to deliver scalable, reliable solutions.
Let’s build with AI
I help teams automate workflows and unleash the potential of their data through Gen AI agents and robust AI pipelines. Share a brief on 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)