Full Stack Engineer with less than a year in .NET & Angular
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Motivated and detail oriented software Engineer with certification in .Net full stack development and practical exposure in developing MVC Web Applications and Single Page Applications using Angular and RESTful APIs, looking to leverage these technical skills in building solutions to challenging problems for demanding clients.
Marthandam College of Engineering and Technology (MACET)
B.E. · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Model Boys Higher Secondary School
HSC · Computer Science
N/A – May 31, 2021
Model Boys Higher Secondary School
SSLC
N/A – May 31, 2019
Alo Infotech
UI/UX Design Intern
January 1, 2024 – March 31, 2024
Nāgercoil, Tamil Nadu, India
Clinical Management System
June 1, 2025 – June 1, 2026
Implemented the Pharmacist and Lab Technician modules of the Clinical Management System. The Pharmacist module covered medicine inventory, prescriptions, stock updates, and pharmacy billing, while the Lab Technician module managed lab test inventory, test assignments, results, and lab billing. ADO.NET with stored procedures handled CRUD operations, stock management, and billing, with an optimized SQL Server schema. The UI was built using Bootstrap, HTML, CSS, and JavaScript, ensuring responsiveness, validation, and smooth exception handling. Developed RESTful APIs in ASP.NET Core Web API for Pharmacist and Lab Technician modules, covering prescriptions, medicine inventory, lab test assignments, patient history, and billing. Implemented JWT-based authentication and role-based authorization for secure access control. Built a SPA in Angular with services, components, routing, and state management for smooth navigation. Designed a responsive UI using Bootstrap, HTML, and CSS to deliver a modern and consistent user experience across devices.
Blood Cancer Detection
January 1, 2025 – June 1, 2025
Built a CNN model in Python achieving 97% accuracy for blood cancer detection from smear images. Implemented data preprocessing and image augmentation for blood smear images; handled model training, testing, and evaluation. Built and trained CNN models using ResNetRS50 and RegNetX016 architectures; tuned hyperparameters to improve model accuracy. Processed and enhanced microscopic images for better feature extraction; resized, normalized, and prepared images for CNN input. Achieved 97% accuracy in detecting blood cancer; evaluated performance using metrics such as accuracy, precision, and recall.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of technical interests, from deep learning to full-stack web development. The UI/UX internship and participation in a technical quiz suggest a proactive and engaged individual. However, the experience is primarily academic and internship-based, which might require more mentorship in a professional team environment. The target role of 'Full Stack Engineer' aligns well with the skills demonstrated in the 'Clinical Management System' project.
Soft Skills & Operational Fit
The candidate highlights strong communication, adaptability, self-motivation, and a passion for new technologies. Participation in a technical quiz competition suggests a proactive learning attitude. However, the resume lacks specific examples of teamwork or problem-solving in a professional setting beyond the internship description.