I am a backend developer focused on building APIs, data-driven applications, and AI-powered backend systems using Python and FastAPI.
I am currently strengthening my skills in backend architecture, databases, and real-time data systems through hands-on projects involving authentication systems, RAG pipelines, and IoT data processing.
My goal is to build production-ready backend systems that connect data, AI, and real-world applications.
- Build REST APIs using FastAPI
- Design and work with relational databases (PostgreSQL, SQLite)
- Develop AI-integrated backend systems (RAG, embeddings, LLM APIs)
- Work with real-time data pipelines (MQTT, streaming systems)
- Containerize applications using Docker
Backend: Python, FastAPI, Pydantic, SQLAlchemy
Databases: PostgreSQL, SQLite, TimescaleDB, pgvector
AI/ML: PyTorch, Scikit-learn, OpenCV
Infra: Docker, Git, Linux
Systems: MQTT, REST APIs
AI Systems: RAG pipelines, vector search, LLM integrations
- Supported prototyping workflows involving 3D printing, embedded systems, and mechatronics projects
- Assisted in fabrication of 20+ engineering components
- Worked with CAD design and hardware prototyping pipelines
- Gained hands-on experience with real-world engineering constraints and systems thinking
FastAPI-based authentication system with JWT and PostgreSQL.
- User registration and login system
- JWT-based authentication and authorization
- Role-based access control
- Dockerized backend service
Backend system for document question answering using retrieval-augmented generation.
- FastAPI-based document ingestion API
- Vector search using PostgreSQL + pgvector
- Semantic retrieval pipeline for Q&A
- Docker-based deployment
Streaming system for sensor data ingestion and processing.
- MQTT-based data ingestion (Mosquitto broker)
- FastAPI processing layer for validation and storage
- TimescaleDB for time-series data storage
- Real-time data pipeline architecture
Machine learning system for defect detection in additive manufacturing.
- Computer vision-based defect detection pipeline
- FastAPI inference API for ML model serving
- ESP32 integration for sensor feedback
- Applied ML for industrial manufacturing data
- Backend system design and APIs
- AI-powered application development
- Real-time data engineering systems
- Scalable backend architecture fundamentals