🎓 CSE Undergraduate at BUET | AI Systems • Full-Stack • Backend
🚀 Building LLM-powered systems, real-time platforms, and applied AI

• 🎓 CSE undergraduate at BUET
• ⚙️ Backend systems, scalable APIs, full-stack engineering
• 🧠 Research: LLM-based testing, medical AI
• 🚀 Build end-to-end systems from design → deployment

• Build scalable full-stack systems
• Develop AI-powered applications
• Integrate ML into production systems

AI-powered dementia care platform with real-time caregiver support
→ Full-stack system using Spring Boot, PostgreSQL, Redis
→ Enables real-time monitoring and coordinated care workflows

AI-assisted livestock care system for low-connectivity environments
→ Offline-first Android workflows with resilient backend integration
→ Provides reliable decision support in constrained field conditions

(Undergraduate Thesis)
→ LLM-based pipeline for automated web test generation and validation
→ Dataset creation and evaluation for robustness and coverage

→ Conflict-aware medical reasoning system for chest X-ray analysis
→ Multi-model inference with confidence-calibrated decision making

• ⚙️ Compiler — Full compiler pipeline with parsing, semantic analysis, symbol table, and 8086 code generation
• 🎨 Graphics Pipeline — Full rendering pipeline with rasterization, Z-buffering, and ray tracing.

• 🌐 SkillHub — Coaching / school management system with role-based access and REST API backend
• 🌱 Remote Gardening — Microcontroller-based system for automated plant monitoring and actuator control
• 🌐 TCP Window Scaling Attack — MITM attack simulation on TCP window scaling with packet analysis and protocol manipulation
• 🎬 Movie DB — JavaFX application with structured CRUD-based data management

C++ • Python • Java • Kotlin • JavaScript • TypeScript

Spring Boot • Node.js • Express • React • Next.js • Tailwind CSS

PyTorch • TensorFlow

PostgreSQL • MongoDB • Redis

Docker • Linux • Git • Azure

• 📧 Professional E-Mail: mninadmnobo@gmail.com
• 📧 Academic(BUET) E-Mail: 2005080@ugrad.cse.buet.ac.bd
• 📧 Personal E-Mail: ninadnobo@gmail.com
• 📞 Phone: +880 1939-444451
• 📞 Secondary: +880 1849-285757

⭐ Building reliable systems and applied AI solutions