Backend Engineer with 1+ years in Nest JS, Python & Django
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Assessing your cultural and operational fit
Software Engineer Intern and Backend Developer with hands-on experience in building server-side applications using Nest JS and MySQL. Recently completed MCA from the University of Kerala, with a B.Sc. in Computer Science. Skilled in Python, Django, Nest JS, HTML, CSS, JavaScript, MySQL, and Java. Experienced in developing real-world projects in healthcare, travel, and enterprise domains. Strong problem-solving abilities, clean coding practices, and a passion for learning and implementing modern backend technologies.
University of Kerala
MCA · Computer Application
N/A – June 30, 2025
University of Kerala
B.Sc. · Computer Science
N/A – June 30, 2023
SODISYS Pvt Ltd
Software Engineer Intern – Backend Developer
September 15, 2025 – Present
India
Srishti Innovative Technopark
Python Full Stack Developer Intern
January 1, 2025 – September 1, 2025
India
Aerotrack – Flight & Hotel Booking Platform
June 27, 2026 – Present
Created a 3-role system: User, Owner, Admin. Built booking systems, airline registration dashboards, and real-time user alerts. Designed notification system for ticket discounts and hotel suggestions. Developed admin features for user moderation and platform analytics. Planned ML-based trend analysis for future updates.
Intern - Sodisys (NGIOS Project)
June 27, 2026 – Present
Developed and integrated RESTful APIs for NGIOS, Sodisys's software product, enabling efficient data communication and database operations. Implemented data protection and access control using NestJS middleware, guards, and JWT authentication. Optimized database integration with MySQL to ensure seamless data handling and system reliability.
Medi AI – AI-Powered Healthcare Platform
June 27, 2026 – Present
Developed modules for Admin, User, and Doctor roles. Integrated AI chatbot for medical consultation and appointment booking. Built secure authentication and responsive interfaces. Added e-commerce functionality for skincare products. Implemented personalized health suggestions using basic ML algorithms.
Data Analysis with Python Certification
Unknown
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity (healthcare, travel, enterprise) and exposure to different tech stacks (Python/Django, NestJS/TypeScript) suggest adaptability and a willingness to learn new technologies. Their academic background and ongoing master's degree indicate a commitment to continuous learning. The internship experiences show an ability to integrate into professional teams and contribute to live projects.
Soft Skills & Operational Fit
The candidate demonstrates good collaboration skills through participation in Agile/Scrum teams and code reviews. Their experience in creating technical documentation suggests an understanding of operational best practices. The project descriptions indicate problem-solving abilities and a structured approach to development.