A Mohammed Arif
Postgraduate Engineer in Computer Science Engineering skilled in Python, IoT, and Machine Learning
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About
Postgraduate Engineer specializing in Computer Science Engineering with good knowledge in Software Development, Python, IoT, and Machine Learning. Eager to contribute to a dynamic team where I can embrace my passion to keep learning and take up challenging roles in the field of engineering.
Skills
Projects
Movie Hub Web Application (Front-End)
Developed a responsive streaming platform prototype using HTML5, CSS3, and Bootstrap. Designed a clean and user-friendly interface to enhance browsing experience.
Drowsiness Monitoring System (IoT)
Developed a driver alertness monitoring system using Arduino Uno and eye-blink sensors. Implemented real-time alerts via Blynk App to notify users when drowsiness is detected.
Face Attendance System
Built a real-time face recognition attendance system using Python and OpenCV with 95%+ accuracy. Integrated Flask and SQLite backend for secure attendance storage and management.
IoT Intrusion Detection System
Developed a real-time IoT security system using the RT-IoT2022 dataset to detect malicious network traffic. Built a stacking ensemble model achieving 99.8% accuracy. Created a monitoring dashboard using Python (Flask) and MySQL.
Education
Ananta Lakshmi (ALITS), Anantapur
M.Tech, Computer Science Engineering
2024 – 2026
Presidency University, Bengaluru
B.Tech, Computer Engineering | Data Analytics
2020 – 2024
Certifications & achievements
A Real-Time Stacking Ensemble Model for IoT Intrusion Detection · International Journal of Research Publication and Reviews (IJRPR)
Apr 2026
Achievement / award
Published in International Journal of Research Publication and Reviews (IJRPR) in Apr 2026.
Diagnosis of Acute Diseases in Villages & Smaller Towns · International Journal of Computer Research and Technology (IJCRT)
Jan 2024
Achievement / award
Published in International Journal of Computer Research and Technology (IJCRT) in Jan 2024.