Faizan S.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

I help companies build production-ready LLM pipelines, AI agents, and RAG systems that are accurate, scalable, and hallucination-free. Currently focused on AI agents, RAG evaluation, and AWS-based deployments. ✅ 10+ years of experience, 100% rating and AWS Machine Learning - Specialty Certified I am a highly experienced and versatile AI expert, specializing in Generative AI, Autonomous Agents, Retrieval-Augmented Generation, Enterprise MLOps, and Mathematical Optimization. My unique blend of advanced academic research and production-grade engineering sets me apart, as I move beyond standard implementations to deliver scalable, deterministic, reasoning-capable AI systems. 𝐃𝐨𝐦𝐚𝐢𝐧𝐬 𝐖𝐡𝐞𝐫𝐞 𝐈 𝐂𝐫𝐞𝐚𝐭𝐞 𝐈𝐦𝐩𝐚𝐜𝐭: • Generative AI & Autonomous Agents: I design Retrieval-Augmented Generation (RAG) systems that ground LLMs in your private data, eliminating hallucinations. Beyond simple Q&A, I build Agentic Workflows (LangGraph/CrewAI) that can plan tasks, query SQL databases, and interact with internal APIs to automate complex operations.. • Enterprise MLOps & Cloud Architecture: A model is only as good as its deployment. Leveraging my AWS ML Specialty, I build robust pipelines using SageMaker, Docker, and Kubernetes. Whether it’s real-time inference or batch processing, I ensure your system is scalable, secure, and cost-efficient. • End-to-End Data Engineering: AI needs clean data. I handle the full lifecycle—from ETL and Web Scraping to managing Vector Databases (Pinecone/Qdrant) and Graph Databases (Neo4j), ensuring high-quality inputs for your models. • Mathematical Optimization: LLMs are great at language; Optimization is great at logic. I combine both. I use CPLEX, Gurobi, and CVXPY to solve complex resource allocation and scheduling problems, then use GenAI layers to interpret those results for human decision-makers. This is critical for supply chain and financial modeling. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐈 𝐁𝐮𝐢𝐥𝐝 𝐖𝐢𝐭𝐡: 🚀 Generative AI & Agentic Systems • Agent Orchestration: LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, LangChain • LLMs & Inference: OpenAI, Anthropic, Llama 3, Mistral, Hugging Face TGI • RAG & Knowledge Retrieval: GraphRAG (Neo4j), Hybrid Search (Pinecone/Weaviate), RAGAS (Evaluation), LlamaIndex. ☁️ MLOps & Enterprise Deployment • AWS AI Stack: AWS Bedrock, SageMaker JumpStart, AWS Lambda, API Gateway • Containerization & Serving: Docker, Kubernetes (EKS), Ray Serve, FastAPI • Observability: LangSmith, Langfuse, MLflow, Weights & Biases. 💾 Data Engineering & Vector Stores • Vector Databases: Pinecone, Qdrant, Milvus, ChromaDB, faiss • Data Processing: dbt (Data Build Tool), Apache Spark, Polars, pandas, SQL 🧮 Mathematical Optimization • Solvers: Gurobi, IBM CPLEX, SCIP, COIN-OR • Modeling Frameworks: Pyomo, CVXPY, PuLP, Google OR-Tools