AI/ML Engineer with 2+ years of experience building Python-based AI applications, production APIs, and machine learning models using FastAPI, PostgreSQL, AWS, PySpark, Databricks, and MLflow. I specialize in LLM fine-tuning, RAG, NLP, and model serving — delivering measurable impact like 95% forecast accuracy, 35% LLM accuracy improvement, and 81% lower compute time.

• 🤖 Generative AI & NLP: LLM Fine-tuning (SFT, PEFT, LoRA, QLoRA), RAG, Prompt Engineering, LangChain, LangGraph, Transformers
• 🧠 Machine Learning: Predictive Modelling, Time-Series Forecasting, Feature Engineering, XGBoost, PyTorch, Prophet
• ⚙️ MLOps & Production Engineering: MLflow, vLLM, Docker, GitHub Actions CI/CD, Microservices, Production Inference
• ☁️ Data Engineering: Python, SQL, PySpark, Apache Spark, Databricks, AWS, Delta Lake, Distributed Computing

Python / Generative AI / RAG Built document processing and knowledge retrieval workflows — ingestion, chunking, embeddings, metadata processing, and vector search — across 1,000+ documents. Tech: Python, FastAPI, LangChain, Pinecone, LLaMA, RAG

• 🥇 Spot Award, Tata Consultancy Services — 2026
• 🥇 On-the-Spot Award, Tata Consultancy Services — 2024
• 📜 Advanced certifications in Data Engineering, Machine Learning, and Generative AI — 2025

• 💼 LinkedIn: https://www.linkedin.com/in/mohammadaffan1
• 💻 GitHub: https://github.com/affanmohd65
• 🏆 LeetCode: https://leetcode.com/u/affanmohd65
• 💡 HackerRank: https://www.hackerrank.com/profile/affanmohd65

🌍 Open to AI/ML Engineer and Applied AI opportunities worldwide.

"Turning data into intelligent decisions through Machine Learning, LLMs, and Production AI."