Fullstack Engineer with less than a year in ReactJS, Node.js & Kotlin.
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Full Stack and Android Developer with hands-on experience in building scalable web and mobile applications using ReactJS, Node.js, Express.js, Kotlin, and MongoDB. Skilled in developing responsive user interfaces, REST APIs, and AI-based applications. Passionate about software development, problem solving, and learning modern technologies.
Rajeev Institute of Technology, Hassan
Bachelor of Engineering · Computer Science
August 1, 2022 – June 30, 2026
Sharada Aniketana Vidya Samste
10th Standard
N/A – May 31, 2020
Christ the King, Channarayapatna
PU (12th Standard)
N/A – May 31, 2022
Mindmatrix
Android Developer Intern
June 1, 2025 – June 1, 2026
India
MediKit - Online Medical Kit
March 1, 2025 – December 31, 2025
Built an online medical support platform enabling medicine search and emergency contact access. Connected frontend modules with backend services to support real-time data retrieval. Improved search performance through optimized frontend and backend logic.
Logistics Route Optimizer
January 1, 2025 – December 31, 2025
Developed a full-stack logistics route optimization platform for efficient route planning and delivery tracking. Integrated Leaflet.js maps to visualize optimized delivery routes and live locations. Built REST APIs using Node.js and Express.js for backend route and delivery management. Implemented MongoDB database integration for storing logistics and route information securely.
DeepFake Detection using CNN Models
January 1, 2025 – December 31, 2025
Developed an AI-based deepfake detection system using CNN architectures for image and video classification. Worked with models such as EfficientNet, InceptionNet, and ResNet for fake media detection. Performed image preprocessing, frame extraction, and model evaluation to improve prediction accuracy. Integrated trained models into a web application for real-time deepfake detection.
Expense Tracker Android Application
January 1, 2024 – December 31, 2024
Developed an Android application to monitor expenses across multiple spending categories. Integrated Firebase Authentication and Firestore for secure user data management. Tested transaction workflows and improved application reliability through debugging and validation.
View ProjectSmart Property Explorer
January 1, 2024 – December 31, 2024
Engineered a real estate web application displaying verified property listings with dynamic filters. Developed reusable ReactJS components improving UI consistency and development efficiency. Optimized responsiveness and performance across desktop and mobile devices.
Sentiment Analysis on Reddit Data using Apache Spark
January 1, 2024 – December 31, 2024
Implementing a scalable sentiment analysis pipeline to process large Reddit datasets. Executing data preprocessing and transformation using Apache Spark for distributed analysis. Evaluating performance to improve processing efficiency on high-volume social media data.
MERN Stack Development
PrepInsta
June 1, 2026 – Present
Android App Security Bootcamp
Demystifying Android App Security Team
June 1, 2026 – Present
Machine Learning
PrepInsta
June 1, 2026 – Present
Cloud Computing
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests, including full-stack web development, mobile development, and AI/ML. This diversity suggests an eagerness to learn and adapt to different technologies, which can be a positive cultural fit for dynamic environments. The hackathon achievement also indicates a collaborative spirit. However, the experience is primarily academic, and the target role is 'Fullstack Engineer', which aligns well with the MERN stack projects. The candidate's current education level (still pursuing Bachelor's) and limited professional experience (one internship) suggest a learning-oriented individual who could benefit from mentorship.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, team collaboration, time management, and communication skills. The project descriptions indicate some level of collaboration (e.g., hackathon project with a 4-member team) and problem-solving in optimizing performance and debugging. However, without direct assessment data, the depth of these soft skills cannot be fully validated.