I build practical AI systems from notebooks to deployable applications — including machine learning models, deep learning projects, RAG assistants, and agentic AI workflows.
- AI/ML developer focused on Machine Learning, Deep Learning, Generative AI, and Agentic AI.
- I build end-to-end AI projects using Python, scikit-learn, PyTorch, Streamlit, FastAPI, RAG pipelines, and LLM-based workflows.
- My work includes classification, regression, retrieval-augmented generation, MCP-based tools, and multi-agent systems.
- I care about clean notebooks, strong documentation, model evaluation, reproducible workflows, and deployment-ready AI applications.
Machine Learning: Classification, Regression, Feature Engineering, Model Evaluation, Hyperparameter Tuning
Deep Learning: PyTorch, Computer Vision, Image Classification, Transfer Learning
Generative AI: RAG, LLMs, Prompt Engineering, Embeddings, Retrieval Pipelines
Agentic AI: MCP, CrewAI, AI Agents, Tool-Based Automation, Multi-Agent Workflows
Deployment: Streamlit, FastAPI, GitHub, Clean README, Requirements, Reproducible Projects
| Project | Category | What it shows |
|---|---|---|
| Credit Risk Modeling | Machine Learning | Loan default prediction, credit score generation, feature engineering, model tuning, and Streamlit deployment. |
| Healthcare Premium Prediction | Machine Learning | Regression workflow for health-insurance premium prediction using preprocessing, notebooks, and ML experimentation. |
| Vehicle Damage Detection | Deep Learning / Computer Vision | PyTorch-based image classification workflow for vehicle damage analysis with deployment-focused app structure. |
| Real Estate RAG Assistant | Generative AI / RAG | Retrieval-augmented assistant for real-estate queries using structured data, retrieval logic, and LLM-style response flow. |
| HR Assist Agentic AI | Agentic AI / MCP | MCP-based HR automation concept for onboarding, manager lookup, notifications, tickets, and task execution. |
I am interested in AI/ML projects, GenAI applications,agents, agentic AI workflows, and data-driven products that make machine learning useful beyond notebooks.
