Sai Nath
@sainath1
I build full-stack and machine learning applications with Python and Java.
What I'm looking for
I've built machine learning systems for breast cancer and facial emotion classification, using TensorFlow, Keras, OpenCV, and Flask REST APIs. My breast cancer image classification model achieved 94% diagnostic accuracy across 8,000+ image records.
I've also developed a full-stack e-commerce application with authentication, product catalogs, carts, category search, demo payments, automated notifications, and an admin panel for inventory and order tracking. I built it with Java, Servlets, JSP, JDBC, MySQL, HTML, CSS, JavaScript, and Bootstrap.
As a Computer Science Engineering graduate, I work across Python, Java, relational databases, REST APIs, data structures, algorithms, and Git-based workflows. I enjoy testing, debugging, improving data pipelines, and building maintainable end-to-end systems.
Experience
Work history, roles, and key accomplishments
Breast Cancer Image Classification
Self Employed
Jan 2026 - Mar 2026 (2 months)
Developed a deep learning-based breast cancer image classification system using Python, TensorFlow, Keras, and OpenCV, achieving 94% accuracy. Built a Flask REST API for real-time prediction and integrated image preprocessing, augmentation, and inference workflows.
Emotion Classification from Facial Images
Self Employed
Sep 2025 - Nov 2025 (2 months)
Developed an emotion recognition system using the ResNet-50 deep learning model on the RAF-DB dataset containing 10,000+ labeled facial images across seven emotion classes. Achieved 85.5% accuracy and developed Flask REST APIs for real-time emotion prediction.
E-Commerce Web Application
Self Employed
Feb 2025 - Mar 2025 (1 month)
Designed and developed a full-stack e-commerce platform with authentication, product catalog, cart, and category search. Integrated demo payments and automated email notifications, and built an admin panel for product CRUD, inventory management, and order tracking.
Education
Degrees, certifications, and relevant coursework
Anurag University
Bachelor of Technology, Computer Science Engineering
2022 -
Grade: 8.24/10
Pursuing a Bachelor of Technology in Computer Science Engineering with a CGPA of 8.24/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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