AI/ML Engineer with hands-on experience building NLP pipelines, FastAPI backends, and RAG-based GenAI systems. Currently open to AI/ML Engineer opportunities.
Languages: Python, SQL
ML & AI: Scikit-learn, TensorFlow, NLP, Sentiment Analysis, ANN
GenAI (Growing): LangChain, RAG, FAISS, Hugging Face Transformers
Backend & APIs: FastAPI, Async Processing, REST API Design
Databases: MySQL, Relational Schema, Connection Pooling
Tools: Git, GitHub, Jupyter Notebook, Google Colab, MLflow
| Project | Description | Tech |
|---|---|---|
| Sentiment Analysis API | Production-style REST API predicting sentiment from text | FastAPI Β· Scikit-learn Β· NLP |
| RAG Chatbot | AI chatbot answering questions from your own documents | LangChain Β· FAISS Β· LLaMA Β· Streamlit |
| ML Model Benchmarking | Research-grade comparison of 6 ML algorithms with MLflow tracking | Scikit-learn Β· XGBoost Β· MLflow |
| India Crime Analysis | EDA and predictive modeling on India crime & missing persons data | Pandas Β· Matplotlib Β· Scikit-learn |
- π Machine Learning Specialization β DeepLearning.AI & Stanford (Coursera)
- β Java, Problem Solving & SQL β HackerRank
- π IBM Cybersecurity Workshop β Participant