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AI Engineer with less than a year in Machine Learning & Computer Vision
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Enthusiastic Python developer with hands-on experience in machine learning, computer vision, and application development through AI-powered projects. Skilled in Python, OpenCV, Scikit-learn, TensorFlow, Keras, Tkinter, PyQt6, and MySQL with strong knowledge of OOP concepts and backend development. Completed a Bachelor's degree in Electronics and Communication Engineering with a strong interest in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, intelligent automation, and AI-powered application development.
Arunachala College of Engineering for Women
BE. Electronics and Communication Engineering · Electronics and Communication Engineering
August 1, 2022 – June 30, 2026
Cognifyz Technologies
Machine Learning Intern
January 1, 2026 – February 1, 2026
India
AI-Powered Video Surveillance System Detection
June 24, 2026 – Present
• Developed a real-time CCTV action recognition system using Temporal Shift Module and MobileNetV2. • Implemented preprocessing with CLAHE and motion-based optical flow substitution for low-light accuracy. • Built a PyQt6 GUI with live video feed, FPS monitoring, confidence gauge, and real-time prediction display. • Integrated MySQL database logging for forensic evidence storage, such as timestamp, confidence scores, snapshots.
IoT Based Energy Monitoing System
June 24, 2026 – Present
• Designed an IoT-based smart home energy monitoring system with remote device control and real-time data collection • Stored and visualized consumption data on a cloud database to analyze usage and automate device ON/OFF control.
Face Recognition Attendance System
June 24, 2026 – Present
• Built an automated attendance system using real-time face recognition and MySQL integration. • Designed a dashboard-style Tkinter GUI with attendance statistics and timesheet management.
Machine Learning A-Z : AI, Python
UDEMY
December 1, 2025 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2025 – Present
Python OOP
March 1, 2025 – Present
Open CV For Python Developer
December 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from video surveillance to IoT energy monitoring and face recognition, indicates a broad interest in applying AI across different domains. The focus on practical, application-oriented projects aligns well with an AI Engineer role that often requires building tangible solutions. The mention of Generative AI concepts suggests an interest in cutting-edge technologies, which is a positive for cultural fit in an innovative AI team. However, the experience level is very junior, which might require significant mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through project implementations and an understanding of AI workflows. The ability to build GUIs (PyQt6, Tkinter) suggests a capacity for developing user-facing applications. The internship experience shows an ability to apply ML models and evaluate their performance, indicating a structured approach to tasks. However, without psychometric or English test scores, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.