Building high-performance backend systems, designing clean APIs, and integrating AI into real-world applications. Currently architecting enterprise-grade Video Monitoring Systems and exploring AI-ML integration for intelligent applications.
π Building the future, one API at a time.
- π§ Backend Developer specializing in Django, DRF, FastAPI & Python microservices
- π€ Exploring AI-ML integration into backend architectures
- π₯ Architecting Enterprise Video Monitoring Systems (VMS) with AI-powered analytics
- π Expert in secure authentication: JWT, OAuth2, RBAC
- πΎ Strong with PostgreSQL, Redis, MongoDB, Celery, RabbitMQ, Docker
- π Data Engineering & Analytics with Power BI, Tableau, Pandas
- π» I write clean, maintainable, production-grade backend code
- π€ Strong believer in architecture consistency & code reviews
- π± Currently learning AI-ML and Prompt Engineering
- ποΈ Backend Architecture: Design and implement scalable microservices architectures
- π API Development: Build high-performance RESTful APIs with FastAPI and Django REST Framework
- πΎ Database Design: Optimize database schemas and queries for PostgreSQL, MongoDB, and Redis
- π Security: Implement JWT authentication, OAuth2, role-based access control (RBAC)
- π Data Engineering: ETL pipelines, data analysis, and business intelligence solutions
- π³ DevOps: Containerization with Docker, CI/CD pipelines, and cloud deployments
- π€ AI Integration: Implementing AI/ML models in production environments
- Microservices architecture with clean domain boundaries
- Cache-first design patterns
- Efficient database schema planning
- High-availability API design
- Real-time processing with WebSockets
- JWT (RS256) token-based authentication
- OAuth2 integration
- Central Authentication Services
- Token verification pipelines
- Multi-factor authentication (MFA)
- ETL pipeline development
- Query optimization and indexing
- Analytics workflows and reporting
- Real-time data processing
- π₯ Building an Enterprise Video Monitoring System (VMS) with AI-powered analytics
- π Developing an AI-powered Stock Price Predictor using machine learning
- π± Learning AI-ML and Prompt Engineering
- π Exploring Microservices Architecture patterns and best practices
- π¬ Experimenting with WebRTC and real-time video streaming
- Enterprise Video Monitoring System (VMS) - AI-powered surveillance with microservices architecture
- AI-Powered Stock Price Predictor - Machine learning model for stock market analysis
- Microservices Starter Kit - Production-ready template (Django + FastAPI + Redis + Celery)
- π Python Backend Development Projects
- π RESTful API & Microservices Development
- π Data Engineering & Analytics Solutions
- π€ AI/ML Integration Projects
- π― Open Source Contributions
- π» I write clean, maintainable, and well-documented code
- π― I believe in test-driven development (TDD)
- π Continuous learner - always exploring new technologies
- π Detail-oriented with a focus on performance optimization
- π€ Strong advocate for code reviews and best practices