I'm an aspiring Data Scientist & AI Developer passionate about machine learning, scalable backend systems, and practical AI deployment. My work focuses on designing efficient data pipelines, deploying containerized microservices, and integrating advanced AI techniques into usable applications.
- Machine Learning & Deep Learning (TensorFlow, PyTorch, Scikit-Learn, Transformers)
- Data Analysis & Visualization (Pandas, NumPy, Power BI, Tableau)
- Backend Engineering (Go, FastAPI, PostgreSQL, Redis, gRPC, Docker, AWS)
- Modern DevOps (Git, CI/CD, Containerization, PASETO, Secure API Design)
- Refactored into a clean microservice architecture with FastAPI, Go, Docker, Streamlit
- Predicts stock prices using an LSTM model, fully containerized and tested
- Easy to run, with CI/CD and clear documentation
- Hybrid AI: NLP sentiment analysis + Poster Similarity (CNN)
- Uses FastAPI, PostgreSQL, Redis, Docker, and PyTorch (BERT)
- Designed for modular scaling, ready for future feature expansion
- Building a secure banking API using Go, PostgreSQL, Redis, Docker, gRPC, PASETO, and AWS deployment
- Focused on production-grade security, role-based access, and scalable architecture
📌 Explore my repos for more!
🔗 LinkedIn 🐍 GitHub ✉️ samudramukhar@gmail.com
💡 Let's build something amazing together! 🚀