AI Engineer with less than a year in AI & Computer Vision
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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
Real-Time Face Mask Detection System
June 24, 2026 – Present
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.
Student Attendance Management System
June 24, 2026 – Present
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.
Person Detection System using YOLOv8
June 24, 2026 – Present
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.
Cultural Fit Analysis
The candidate's projects are primarily focused on computer vision and backend development, aligning well with an AI Engineer role. The diversity of projects (face mask detection, person detection, attendance system) shows a breadth of application areas. However, all projects are personal, and there's no information on team collaboration or contributions to open-source, which limits the assessment of cultural fit in a collaborative professional environment.
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 suggest an ability to work independently on defined tasks.