Software Developer with less than a year in web applications & AI/ML projects
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Assessing your cultural and operational fit
Detail-oriented Computer Science graduate with hands-on experience in software development, web applications, and AI/ML projects. Skilled in Java, Python, Node.js, and database management (MySQL, MongoDB), with internship experience applying best practices in software design, agile methodologies, and cross-functional collaboration. Strong problem-solving and adaptability skills, with a proven ability to deliver efficient, scalable solutions. Seeking an opportunity to contribute to technology-driven innovation while continuously enhancing technical expertise and professional growth.
NMAM Institute of Technology
B.Tech · Computer Science & Engineering
August 1, 2022 – Present
KMES PU College
Pre University Course · Sciences (PCMC)
June 1, 2020 – May 31, 2022
Radha Nayak Govt. High School
Secondary School · SSLC
June 1, 2019 – May 31, 2020
Stroi Analytics Pvt. Ltd.
Software Developer Intern
January 1, 2025 – April 1, 2025
Mūdbidri, Karnataka, India
Secure Voting Application
June 27, 2026 – Present
Designed and implemented a secure, real-time voting platform with Aadhar-based user authentication, single-vote enforcement, and live vote visualization. Built with responsive frontend and a robust Node.js/Express backend, using MongoDB for persistent storage. Integrated JWT-based authentication, bcrypt password hashing, and admin-only candidate management through a secure dashboard.
WhatsApp Bot
June 27, 2026 – Present
Developed an automated WhatsApp-based system using Python and Flask, integrating Twilio's WhatsApp API to manage catering staff availability. Enabled workers to confirm participation by replying "Yes, " with the first N responders validated and others notified. Admin can set or update required worker count dynamically. Implemented with Flask backend and local testing support via ngrok, ensuring rapid deployment and reliable operations.
Juspay Express App (Python)
June 27, 2026 – Present
Developed a simulation of express checkout flow and payment method management for an online merchant using Python 3.9+. Implemented user signup/login, card (PIN + OTP) and UPI ID setup, tokenized card payments, retry logic, and a merchant demo cart workflow. Integrated optional Twilio SMS for OTP and failure alerts. Managed persistence via JSON. Leveraged virtual environments for clean setup and dependency management.
Cultural Fit Analysis
The candidate's personal projects demonstrate initiative and a proactive approach to learning and applying new technologies. The diversity of projects (secure voting, payment simulation, WhatsApp bot) shows a broad interest in different problem domains and a willingness to tackle varied challenges. The internship experience indicates an ability to work in a team environment and adapt to professional software development practices. The target role 'Software Developer' aligns well with the candidate's demonstrated skills and project types.
Soft Skills & Operational Fit
The candidate's project descriptions indicate problem-solving skills and an ability to deliver functional solutions. The internship experience suggests an understanding of collaborative development, daily stand-ups, and sprint planning, which are positive indicators for operational fit. However, the descriptions are concise and do not provide deep insights into communication style or conflict resolution.