Building scalable backend systems and intelligent decision-making architectures.
Backend Systems ██████████████████
Java / Spring Boot ██████████████████
AI & Decision Logic ███████████████
Database Design █████████████
REST APIs █████████████
System Architecture ████████████
I specialize in engineering systems that:
- Process real-time data efficiently at scale
- Make intelligent decisions through AI agents and algorithms
- Communicate reliably across distributed services
- Persist data with optimized database strategies
- Remain performant under production constraints
High-performance rover-side GNSS corrections handler for real-time positioning.
Technical Highlights:
- C++17 NTRIP protocol implementation
- TCP/IP & POSIX socket communication
- Binary-safe RTCM 3.x frame processing
- Stream health monitoring & failover logic
Tech: C++17 Linux TCP/IP NTRIP RTCM 3.x CMake
Machine learning pipeline identifying urban heat hotspots and evaluating cooling interventions.
Backend/ML Stack:
- Google Earth Engine data ingestion
- Feature engineering from satellite imagery
- XGBoost model training & inference
- Spatial data management with PostGIS
Tech: Python Spring Boot PostgreSQL/PostGIS XGBoost Google Earth Engine
Data-driven logistics platform with real-time fleet analytics and operational dashboards.
Dashboard & Analytics: Power BI Tableau | Backend: Java Spring Boot PostgreSQL
Backend Architecture ✓
Distributed Systems ✓
AI Agent Design ✓
Database Optimization ✓
Real-Time Processing ✓
System Design ✓
- Advanced Spring Boot & transaction management
- Microservices architecture & orchestration
- C++ performance optimization & async patterns
- AI agent frameworks & decision trees
- Stream processing & event-driven systems
- Cloud-native deployment strategies
- Backend Engineering roles
- AI/ML systems development
- System design challenges
- Distributed systems work
- Real-time data processing
- Internships & collaborations
