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mnxtr/README.md

πŸ‘‹ Mohammad Mansib Newaz

Backend Engineer & AI Researcher | Machine Learning | Network Security | Computer Vision
πŸ“ Dhaka, Bangladesh | πŸŽ“ North South University

Portfolio Email LinkedIn GitHub


🎯 About Me

I'm a backend engineer with 4+ years of experience in secure API development, specializing in FastAPI and network security. I'm passionate about bridging the gap between robust backend systems and intelligent machine learning models, with a particular focus on computer vision and real-time AI applications.

Currently exploring Vision MCP (Multimodal Context Processing) to develop intelligent systems that can understand and process visual information in complex distributed networks.

πŸ”¬ Research Interests

  • πŸ€– Computer Vision – Real-time object detection, traffic sign recognition, semantic segmentation
  • πŸ” Network Security – Secure API development, authentication protocols, threat detection
  • 🧠 Machine Learning – Deep learning architectures, model optimization, ensemble methods
  • 🌐 Distributed Systems – Federated learning, edge AI, scalable ML deployment
  • πŸš— Autonomous Systems – Traffic detection, safety-critical applications

πŸ’» Core Competencies

πŸ”§ Backend & Infrastructure

FastAPI  |  PostgreSQL  |  Python  |  REST APIs  |  Secure Development

πŸ€– Machine Learning & AI

PyTorch  |  TensorFlow  |  Scikit-learn  |  YOLOv11  |  Computer Vision

πŸ›‘οΈ Security & Networks

Network Security  |  API Authentication  |  Encryption  |  Threat Analysis

πŸ“š Tools & Technologies

Python (Expert)  |  FastAPI  |  OpenCV  |  Git/GitHub  |  Docker  |  Vite

πŸš€ Featured Projects

🚦 Traffic Sign Detection System ⭐ Most Recent

Real-time Bangladeshi traffic sign detection using deep learning

  • YOLOv11n model for autonomous driving applications
  • Comparative analysis with SSD architectures
  • Live demo: bd-traffic-signs
  • Research website: mnxtr.github.io/website
  • Technologies: Python, PyTorch, YOLOv11n, OpenCV, Gradio

πŸ«€ Cardiovascular Disease Classification

Ensemble machine learning for EKG-based disease prediction

  • Multi-model ensemble approach combining Random Forest, SVM, and Neural Networks
  • Medical data analysis and preprocessing
  • Technologies: Python, Scikit-learn, TensorFlow, Pandas

πŸ’Ό CRM System

Customer Relationship Management platform for streamlined business operations

  • Backend: FastAPI + PostgreSQL
  • Full CRUD operations with authentication
  • Designed for scalability and security
  • View on GitHub

🏭 Manufacturing Database Management System

Interactive frontend for complex manufacturing DBMS

  • Responsive HTML/CSS/JavaScript interface
  • Database query optimization
  • View on GitHub

πŸ“Š GitHub Statistics

GitHub Stats

Top Languages


πŸ“š Current Learning & Focus

  • πŸ” Vision MCP – Advancing multimodal context processing in vision systems
  • 🎯 Model Optimization – Quantization, pruning, and edge deployment
  • 🌐 Federated Learning – Privacy-preserving ML across networks
  • ⚑ Real-time Systems – Low-latency inference for critical applications

πŸŽ“ Education & Credentials

  • πŸŽ“ Bachelor's Degree – Computer Science & Engineering (CSE 499B Senior Design Project)
  • 🏫 Institution – North South University, Dhaka, Bangladesh
  • πŸ“– Specialization – AI/ML, Backend Development, Network Security

🀝 Let's Collaborate!

I'm actively seeking collaborations on:

  • πŸ€– AI/ML Research – Computer vision, deep learning applications
  • πŸ” Security-focused Projects – Secure API design, threat detection
  • 🌐 Backend Systems – FastAPI, database optimization, system design
  • πŸ“‘ Distributed Systems – Edge AI, federated learning

πŸ“¬ Get In Touch


⭐ Quick Links

Resource Link
πŸ“‹ Full Portfolio mnxtr.github.io
πŸ”¬ Traffic Signs Research Research Website
πŸ“„ Resume View Resume
πŸ“§ Contact Get in Touch

Building intelligent systems that matter πŸš€

If you find my work interesting, feel free to ⭐ star my repositories and reach out for collaboration!

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