Chetanya Singh
AI/ML Learner
Maharashtra,India
B.Tech CSE-AI/ML student with hands-on experience engineering end to-end artificial intelligence pipelines and scalable full-stack software systems. Proven track record developing responsive SaaS platforms using React, Flask, and horizontally scalable MySQL databases, alongside low-latency computer vision models (YOLO, PyTorch, TensorFlow). Passionate about applying supervised learning, probabilistic modeling, and data-driven software architecture to solve complex real-world problems. Eager to deepen expertise under industry leaders and contribute to impactful AI and software solutions.
Military Aircraft Detection Model
Developed a real-time object detection pipeline using PyTorch and YOLO architectures to identify and classify military aircraft across diverse aerial and terrestrial backgrounds. Conducted data preprocessing, augmentation, and hyperparameter tuning on multi-class image datasets, achieving high mean Average Precision (mAP) while optimizing inference speed for edge deployment.
Real-Time Cognitive Fatigue and Drowsiness Monitor
Engineered an end-to-end computer vision pipeline using OpenCV and Haar Cascades for real-time facial isolation and eye-state tracking. Trained and optimized a MobileNetV2 CNN using TensorFlow/Keras, achieving >94% classification accuracy for alert versus fatigued states while optimizing for low-latency CPU performance.
Hostel/PG Management SaaS Platform
Built a responsive full-stack accommodation management platform using React and Tailwind CSS, powered by a stateless Python/Flask backend. Architected a horizontally scalable MySQL database via PyMySQL, capable of supporting thousands of concurrent users and processing millions of resident records without latency.
B.Tech
VELLORE INSTITUTE OF TECHNOLOGY - AP · 9.11
Intermediate
PODDAR BRIO INT. SCHOOL, BADLAPUR · 90.8
Attendee · Oct 24, 2026