Turning ideas into working AI systems.
🤖 AI Engineer | 🧠 Machine Learning & Agentic AI | 📊 RAG Systems & Applied AI
I am an AI Engineer with a strong focus on building intelligent, scalable AI systems using modern machine learning and generative AI frameworks. I enjoy working on real-world problems where AI can automate decision-making, enhance user experiences, and provide meaningful insights.
I have completed 20+ personal projects across machine learning, deep learning, and agentic AI. Currently, I am exploring Agentic AI with LangGraph, RAG systems, and cloud-native tools to grow into an end-to-end AI practitioner.
- Python
- NumPy, pandas
- SQL
- Scikit-learn
- PyTorch
- Convolutional Neural Networks (CNNs)
- OpenAI APIs
- LangChain, LangGraph
- Retrieval-Augmented Generation (RAG)
- Vector Databases (FAISS, Pinecone)
- Development & Version Control: Git, GitHub, GitHub Projects
- Deployment & Cloud Tools: Docker, Streamlit, Linux, basic AWS
- Data Processing & Analysis: NumPy, pandas, SQL, Jupyter Notebook
- AI/ML Workflow & Orchestration: LangChain, LangGraph, FAISS, Pinecone, OpenAI APIs
- Optimization & Experimentation: Optuna, PyTorch training pipelines
🧠 Intelligent Career Advisor (Agentic AI) Multi-agent career guidance system built with LangGraph and OpenAI APIs. Designed workflow agents to gather user inputs, ask intelligent follow-up questions, manage structured state with Pydantic, and recommend suitable career paths.
🩺 Intelligent Hemophilia Care AI AI system for bruise (hematoma) detection using PyTorch (ResNet18) and Optuna, combined with a medical Q&A RAG system using LangChain, Pinecone, and OpenAI APIs. Deployed via Streamlit for caregivers and doctors.
🏋️ Fitness & Nutrition AI Assistant (RAG) Built a RAG-based assistant providing fitness guidance, meal recommendations, and motivational insights using LangChain, FAISS, and OpenAI APIs with an interactive Streamlit UI.
🚗 Vehicle Image Classification Trained a CNN in PyTorch on grayscale vehicle images across 7 classes, achieving ~80% test accuracy. Implemented full preprocessing and training workflows using NumPy and pandas.
- Microsoft AI & ML Engineering – Professional Certificate
- IBM RAG and Agentic AI – Professional Certificate
- Agentic AI workflows with LangGraph
- Advanced RAG architectures
- End-to-end AI application development
- Strengthening ML & DL fundamentals
- LinkedIn: https://linkedin.com/in/manan-chaudhary-9824b02b0
- GitHub: https://github.com/MananCh4
⭐ From concepts to real-world AI applications, learning along the way. 🌟