AI/ML Engineer | Generative AI & Agentic AI | Computer Vision & Deep Learning | Python
I am an AI/ML & Generative AI Engineer specializing in building, deploying, and optimizing end-to-end intelligent systems. My focus centers on Large Language Model (LLM) orchestration, Retrieval-Augmented Generation (RAG) architectures, Multi-Agent workflows, and scalable MLOps pipelines.
I bridge the gap between theoretical machine learning and production-ready applications—transforming complex algorithms into fast, containerized REST APIs and intuitive user interfaces.
⚡ Core AI & Engineering Capabilities:
• Generative AI & Agents: RAG Pipelines, Multi-Agent Systems (CrewAI, LangGraph, AutoGen), Prompt Engineering, Semantic Search, Model Context Protocol (MCP), n8n workflow automation.
• Machine Learning & Deep Learning: Predictive Modeling, Feature Engineering, Computer Vision, NLP, Exploratory Data Analysis (EDA), Statistical Modeling.
• Vector Databases & Search: ChromaDB, FAISS, Pinecone, Embeddings Optimization, Hybrid Search.
• MLOps & Infrastructure: Model Lifecycle Management (MLflow, DVC), Containerization (Docker), Version Control (Git/GitHub), AWS Basics, Pipeline Automation.
• Backend & API Development: Python, FastAPI, Flask, SQL, MongoDB, RESTful Architecture, Streamlit deployment.
🛠️ Technical Stack & Tooling:
• Languages: Python, SQL
• Data Science & ML: Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, PyTorch / TensorFlow
• Frameworks & Ecosystems: LangChain, LlamaIndex, CrewAI, LangGraph, AutoGen, OpenAI API, Hugging Face
• Databases & Storage: Vector DBs (ChromaDB, Pinecone, FAISS), PostgreSQL/SQL, MongoDB
• Ops & Tools: Docker, MLflow, DVC, Git, AWS, n8n
📥 Open to opportunities in AI Engineering, Generative AI, Machine Learning, MLOps, and Python Development (Full-Time, Remote, Contracts, & Technical Consulting).
Attachments (Click to Preview)
-
-
-
-