Fullstack Engineer with 1+ years in Mobile & Web Development, skilled in AI/ML & Cloud.
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Final-year Computer Science student with hands-on experience in full-stack web development, mobile application development, and machine learning. Experienced building cross-platform mobile apps with REST API integration, deep learning pipelines, and UI/UX design. Seeking an IT internship or entry-level role to contribute to production-grade software projects.
Sai Vidya Institute of Technology
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Narayana E-Techno School
Class 10
N/A – May 31, 2020
Sri Chaitanya PU College
Class 12
N/A – May 31, 2022
MindMatrix (VTU Internship Program)
Android App Development Intern – GenAl Track
January 1, 2025 – April 1, 2026
Bengaluru, Karnataka, India
PlugEase | EV Charging Access Mobile Application
December 1, 2025 – Present
Built a cross-platform React Native mobile app for locating and booking EV charging stations with real-time status updates via REST APIs. Implemented JWT-based authentication and secure session handling across Android and iOS platforms. Designed scalable backend with Node.js and Express.js with MongoDB for persistent booking and payment data. Integrated Azure cloud services for hosting and deployment, ensuring high availability and fault tolerance.
ArogyaNidhi | Smart Health Scheme Eligibility Checker
January 1, 2025 – June 1, 2026
Built an offline-first Android app in Kotlin to help rural families determine eligibility for government health schemes (Ayushman Bharat PM-JAY, BPL entitlements) via a 5-step Stepper UI powered by a Decision Tree engine. Implemented Room Database (SQLite) for fully offline persistent storage of scheme definitions, document checklists, and 50+ empanelled hospital records seeded from bundled JSON assets via Gson on first launch. Engineered EligibilityEngine.kt as a standalone Kotlin object applying multi-condition Decision Tree logic (income range, BPL status, state, occupation) to return dynamically filtered scheme results without any network dependency. Delivered real-time district-based hospital search using Room DAO LIKE queries with RecyclerView DiffUtil adapters; designed WCAG-compliant UI with 48dp touch targets and 14sp minimum font size for low-literacy rural users.
Virtual Try-On Experience | Deep Learning Fashion App
November 1, 2024 – Present
Developed a deep learning-based solution to simulate virtual clothing try-on using computer vision techniques. Designed end-to-end ML pipeline covering dataset preprocessing, model training, and inference optimization. Applied CNN-based architecture to enable real-time garment overlay on user images with high visual fidelity.
Project Management with Agile
Infosys Springboard
November 1, 2024 – Present
Advanced UX Techniques
Infosys Springboard
June 1, 2024 – Present
Oracle SQL: A Comprehensive Course
Infosys Springboard
June 1, 2024 – Present
DSA: The Complete Masterclass
Infosys Springboard
February 1, 2024 – Present
Design Thinking
Infosys Springboard
March 1, 2023 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a diverse range of interests, from EV charging apps to deep learning fashion and health scheme checkers, indicating adaptability and a willingness to explore different domains. The internship experience and personal projects show initiative and a proactive learning attitude. However, the focus on personal projects and a single internship, while impressive for an entry-level candidate, might suggest less exposure to large-scale team dynamics and corporate environments, which could be a factor for cultural integration in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, collaborative efforts (implied by project scope), and an analytical approach to technical challenges. The certifications in Design Thinking and Project Management with Agile suggest an understanding of operational methodologies and user-centric design, which are valuable for team collaboration and project delivery.