Python Engineer with less than a year in Computer Vision and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science fresher (B.Tech 2026) with hands-on experience in Python, Computer Vision, and AI. Proficient in building object detection pipelines using YOLO, developing FastAPI, and working with data processing libraries. Eager to contribute to a forward-thinking team as a Python/AI fresher and grow through real-world problem solving.
JECRC University, Jaipur
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2026
Person Detection System using YOLOv8
January 1, 2025 – January 1, 2026
Trained a custom YOLOv8 model for real-time person detection in CCTV-style video footage. Handled end-to-end pipeline: data collection, bounding box annotation, model training, and performance evaluation. Achieved high detection accuracy on crowded scene datasets with robust performance in varying lighting conditions. Applied data augmentation techniques to improve model generalization across diverse environments.
Student Attendance Management System
January 1, 2025 – January 1, 2026
Built a backend system to manage and track student attendance records with a MySQL database. Developed REST API endpoints using FastAPI for marking attendance, fetching reports, and exporting data. Used Pandas for generating attendance summary reports and identifying students below the required threshold. Designed normalized database schema to handle multiple subjects, batches, and semesters efficiently.
Real-Time Face Mask Detection System
January 1, 2025 – January 1, 2026
Developed a real-time face mask detection system using YOLOv8 trained on a custom annotated dataset of 1,200+ images. Annotated and preprocessed training data using Roboflow, achieving a model accuracy of 91% on the validation set. Integrated the trained model into a FastAPI backend to expose a REST API endpoint for live image/video inference. Implemented OpenCV-based live webcam feed processing capable of detecting masked/unmasked faces at 25+ FPS.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in practical applications of AI and backend development, aligning well with a Python Engineer role. The academic projects show initiative and a willingness to tackle diverse technical challenges. The focus on real-time systems and data management indicates a results-oriented approach. However, without professional experience, the breadth of exposure to different team dynamics and corporate environments is limited.
Soft Skills & Operational Fit
The candidate lists problem-solving, team collaboration, leadership, critical thinking, and quick learning as soft skills. While these are valuable, there is no assessment data to validate these claims. The project descriptions indicate an ability to work independently on technical challenges.