Backend Engineer & AI Researcher | Machine Learning | Network Security | Computer Vision
📍 Dhaka, Bangladesh | 🎓 North South University

[](https://mnxtr. github.io)

[](mailt o:mohammad.newaz1@northsouth.edu)
[](https://linkedin.com/in /mnxtr)

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.

• 🤖 Computer Vision – Real-time object detection, traffic sign recognition, semantic segmentation
• 🔐 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
• 🚗 Autonomous Systems – Traffic detection, safety-critical applications

FastAPI  |  PostgreSQL  |  Python  |  REST APIs  |  Secure Development                                                     

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

Network Security  |  API Authentication  |  Encryption  |  Threat Analysis                                                 

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

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

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

Customer Relationship Management platform for streamlined business operations

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

Interactive frontend for complex manufacturing DBMS

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


• 🔍 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

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

I'm actively seeking collaborations on:

• 🤖 AI/ML Research – Computer vision, deep learning applications
• 🔐 Security-focused Projects – Secure API design, threat detection
• 🌐 Backend Systems – FastAPI, database optimization, system design
• 📡 Distributed Systems – Edge AI, federated learning

• 💼 Email: mohammad.newaz1@northsouth.edu
• 🔗 LinkedIn: linkedin.com/in/mnxtr
• 🌐 Portfolio: mnxtr.github.io
• 💻 GitHub: github.com/mnxtr