Sumit A.
Junior Machine Learning Engineer
Open to offersNew to PlatformAbout
Sumit A. has honed his expertise in developing AI-driven solutions, as demonstrated by his work on various innovative projects. He built DermaVision AI, a full-stack web application leveraging a Swin Transformer model for dermatological condition classification. His proficiency in Python, MongoDB, and React were key in this project, enhancing real-time analysis capabilities. Furthermore, Sumit developed a Crop Disease Prediction System using MySQL and a Random Forest algorithm, aimed at supporting preventive measures for farmers. His ability to integrate technology with practical applications is also evident in the Face Recognition-Based Attendance Management System, utilizing Qt5 for GUI development. With a robust educational background, including a Master of Computer Application from Lovely Professional University, Sumit is well-equipped to tackle complex problems in data science and machine learning.
Experience
Developer
null · 2026 — 2026Created an AI-powered skin lesion analysis system utilizing a Swin Transformer model for detecting and classifying dermatological conditions. Developed a full-stack web application featuring a React frontend, a Node.js/Express backend, and a Flask-based Python ML server to enable real-time predictions. Implemented 8× Test-Time Augmentation (TTA) to enhance model inference accuracy.Developer
null · 2025 — 2025Engineered an AI-based Crop Disease Prediction System that employs a Random Forest algorithm to identify early plant diseases, assisting farmers in preventive measures. Established the backend with Python and Java while utilizing MySQL for dataset storage. Automated the disease identification process using machine learning to provide timely treatment recommendations for agricultural stakeholders.Developer
null · 2025 — 2025Designed a movie ticket booking management system based on a database to facilitate seat selection and manage bookings. Developed structured MySQL tables and queries for efficient management of customer and booking information. Employed MS-Excel for organizing booking data and producing reports for easy tracking.Developer
null · 2024 — 2024Developed a Face Recognition-Based Attendance Management System to automate the process of student attendance tracking. Created a graphical user interface using Qt5 and linked Python with MongoDB for the storage of attendance records. Conducted hardware compatibility testing and optimized recognition accuracy to support reliable real-time attendance recording.
Skills & Expertise
Education
- Master of Computer ApplicationLovely Professional University · 2024 — 2026
- Bachelor of Computer ApplicationSt. Xavier’s College of Management & Technology · 2021 — 2024
- IntermediateKendriya Vidyalaya Danapur Cantt · 2019 — 2021
- MatriculationKendriya Vidyalaya Danapur Cantt · 2018 — 2019
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