0 + Projects completed
I’m an Android Developer working as SDE 1 at Porter, with a strong focus on building
scalable,
performant and user-centric mobile applications. I primarily work with Kotlin,
Jetpack Compose, XML,
Coroutines, Dagger and modern Android architectures.
Alongside Android, I have hands-on experience in full-stack web development and
data-driven projects,
which helps me think end-to-end about products — from UI/UX to backend APIs and data
workflows. I
enjoy solving real problems, improving app performance and continuously learning new
tools and
technologies.
0 + Projects completed
Android Developer with experience building and maintaining production-grade mobile applications using Kotlin, Jetpack Compose, XML, Coroutines and modern Android architectures. I’ve worked on improving app performance, stability and user experience, while also having a strong background in full-stack web development (React.js, Node.js, PHP) and data-driven projects. Comfortable working across UI, APIs and data layers, I enjoy solving complex problems, collaborating with teams and shipping high-quality features end-to-end.
CGPA: 8.49
Percentage: 88%
Below are the projects showcasing my expertise in Web Development, Machine Learning, and Data Analytics, utilizing technologies such as Python, Flask, Streamlit, React.js, Node.js, and various BI tools like Microsoft Power BI.
Developed a full-stack real estate application using React.js, Tailwind CSS, Node.js, and MongoDB. Implemented user authentication with JWT and Google OAuth, and designed responsive UIs with features like image sliders and search functionality.
Developed a comprehensive contact management system with email verification, OAuth, secured routes, CRUD operations, image uploads, email attachments, and a responsive UI featuring dark/light themes.
Developed a comprehensive expense management system using PHP and MySQL. Implemented secure user authentication and enhanced user experience with expense management features and report export functionality.
Developed a Flask-based web app for predicting customer churn using machine learning. Designed an intuitive UI and implemented CSV file upload for enhanced scalability and efficiency.
Developed a chat application with a user-friendly interface, real-time messaging, and multithreading for seamless client interactions and synchronized updates.
Developed an interactive web app for WhatsApp chat analysis using Streamlit and Python. Implemented detailed message statistics, visualizations, and communication trend analysis.
The project involves predicting stock prices using advanced neural networks—LSTM, GRU, and GAN—by analyzing their performance through RMSE, enabling a comparative study of their effectiveness in time-series forecasting.
Monitors infrastructure damage post-disasters using machine learning, achieving 92.23% accuracy. Combines features from CNN (VGG16) and LBP for robust predictions. Deployed as a Flask web app, allowing users to upload images and predict damage status.
Developed a Driver Safety System using Arduino and image processing to detect drowsiness and intoxication, with lane and vehicle monitoring, GPS tracking, and real-time alerts.
A realtime chat app built using Jetpack Compose, Firebase Auth, and Firestore. Supports secure login, room-based chatting, and live message updates with snapshot listeners. Includes sender-aligned messages, timestamps, and smooth navigation using Compose Navigation.
A clean and modern Music App UI built with Jetpack Compose and Material 3. Features multiple UI screens (Home, Browse, Library, Account, Subscription) with smooth navigation using Navigation Compose. This version includes UI only — audio playback and media controls will be added in upcoming updates.
A modern WishList app built using Jetpack Compose, Room Database, and MVVM architecture. Users can add, edit, and delete wishes with smooth Material 3 UI and swipe-to-delete gestures. All data is stored locally using Room with reactive Flow updates for a seamless experience.
A simple Jetpack Compose app demonstrating clean navigation between screens. Shows how to pass data (name, age) through routes using Navigation Compose, with a lightweight UI built using Compose components. Ideal for beginners learning multi-screen navigation in Compose.
A fun and lightweight Jetpack Compose demo game where the user sails in four directions—North, South, East, West—and encounters random events like treasure or storms. The project focuses on Jetpack Compose UI, state management with remember + mutableStateOf(), button interactions, and dynamic text updates. Future versions will include animations, sound effects, improved logic, and a full gameplay loop.
Shopping List is a clean Jetpack Compose application that allows users to manage their daily shopping items effortlessly. The app features add, edit, and delete item support, along with quantity updates and a modern Material 3 layout. Currently powered by in-memory state, the app will soon support Room Database, swipe gestures, dark mode, and animations.
Country Pref Manager is a lightweight Android demo app showcasing persistent key–value storage using SharedPreferences. Users can enter a country name, save it locally, and the stored value is automatically displayed when the app is opened again. This project is ideal for beginners learning data storage concepts in Android.
MVVM Counter App is a lightweight Jetpack Compose application demonstrating the core principles of MVVM and reactive UI state management. The counter value is stored in a ViewModel and updates the UI instantly using mutableStateOf(). The project is perfect for beginners learning architecture patterns with Compose.
A modern Android Recipe App built using Jetpack Compose, MVVM, Retrofit, and Navigation Compose. The app fetches food categories from TheMealDB API and displays them in a clean grid layout using LazyVerticalGrid. Users can tap any category to open a detailed screen showing a full-size image, description, and neatly formatted UI powered by Compose and Coil image loading.
Created a basic replica of the Amazon homepage using HTML and CSS for educational purposes, focusing on layout and design skills.
Created a dynamic clock using JavaScript, HTML, and CSS. The project displays real-time updates and showcases the use of JavaScript for interactive web elements, styled with CSS for a visually appealing design.
Developed an interactive and responsive website for Online Meal Hub, offering diverse meal services including food catering, bulk ordering, and online food ordering. The website features a user-friendly interface and showcases various culinary options, enhancing the online food ordering experience.
Developed a Knight's Tour solver using Java Swing and AWT, implementing Warnsdorff's Rule for more efficient chessboard navigation. This project enhances solution speed and improves time complexity compared to traditional methods.
Created an interactive Tic-Tac-Toe game using HTML, CSS, and JavaScript. The project features a responsive design with distinct player symbols ("X" and "O"), game outcome messages, and controls for resetting and starting a new game. Enjoy classic gameplay on any device with a seamless user experience.
Developed a Rock-Paper-Scissors game using HTML, CSS, and JavaScript. The game features an engaging interface with interactive buttons for player choices, visual feedback on game results, and an easy-to-use design that adapts to various devices.
Developed a Netflix homepage replica using HTML and CSS. The project showcases a visually appealing and responsive design, replicating the layout and styling of the Netflix homepage for educational purposes.
This Flask-based web application predicts student grades based on their study hours using a machine learning model. Users can input the number of study hours, and the application forecasts the corresponding score.
This Flask web application predicts the probability of a forest fire based on input parameters such as oxygen, temperature, and humidity levels. Users can input these values, and the app uses a trained machine learning model to provide a prediction, indicating whether action is needed or if the forest is safe.
LaneDetect is a Python project using OpenCV for road lane detection, aiding in driver assistance by accurately identifying lane boundaries. It leverages Canny edge detection and Hough transformation techniques, suitable for real-time video and static images. The project is easy to integrate and available on GitHub under the MIT License.
The Weather Forecast App allows users to check the weather for various cities. Enter a city name to retrieve real-time weather data, including temperature and status, from the OpenWeatherMap API. It features a user-friendly, responsive design with technologies like Node.js, Express.js, Handlebars, HTML, CSS, and JavaScript. Hosted at Link.
Developed an image encryption and decryption application using AES encryption. Implemented a graphical user interface (GUI) with Java Swing for selecting, encrypting, and decrypting image files.
Below are some hackathons where I showcased my skills and creativity through innovative solutions, achieving remarkable results and gaining invaluable experience.
Secured first place at the Tech For Good Hackathon, powered by NETSCOUT, on January 22, 2023. Competing among talented teams, I developed a standout solution recognized for its impactful approach and technical excellence.
Successfully secured qualification for the final round of the Internal Hackathon for Smart India Hackathon 2023 at Vishwakarma Institute of Technology, Pune (September 23-24, 2023). This accomplishment demonstrates my technical skills and innovative problem-solving abilities.
Qualified for the final round of the S.P.I.T Innovation Cup 2023 after successfully completing Evaluation Round 2 on April 8, 2023. This AICTE-SPICES & AICTE IDEA LAB sponsored event highlighted my innovative ideas and technical expertise among top participants.
Below are some of my publications that reflect my research efforts and technical skills. Through these projects, I have gained valuable experience in implementing innovative solutions and deepening my understanding of the subject matter.
Published by IEEE in the 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), this paper presents a system to prevent accidents caused by driver fatigue or intoxication. Using an ATMega328p microcontroller, sensors for alcohol and obstacle detection, GPS, and image processing for lane and drowsiness detection, the system alerts the driver and can stop the vehicle safely if necessary.
Published by EDP Sciences in 2023, this paper presents a compact, energy-efficient speaker system that delivers sound in a specific direction using ultrasonic waves. By leveraging air's non-linear properties, the system produces directional sound beams, suitable for applications like public address systems, targeted displays, and immersive gaming. The project involved designing electronic components like ultrasonic transducers, amplifiers, and signal generators, along with software for precise control.
Published by IEEE in the 2024 ICCPCT Conference, this paper addresses supply chain challenges, specifically counterfeit detection, through a QR-based blockchain system. It ensures traceability and secure identification of products, preventing fraud with decentralized access and high security, making data alterations difficult without consensus.
Below are some of my certifications completed during my engineering journey, helping me build strong technical foundations across software development, data science, and cloud technologies.
Completed a comprehensive full-stack program covering frontend (HTML, CSS, JavaScript, React), backend (Node.js, Express, Python, Django), databases, cloud deployment, microservices, and containerization using Docker & Kubernetes. Built and deployed a full-stack capstone integrating all technologies.
Completed an in-depth Java full-stack track covering Java programming, OOP, DSA, Spring Framework, Spring Boot, REST APIs, and microservices. Applied skills in a capstone project building real-world full-stack applications.
Mastered Python fundamentals, data structures, API handling, file processing, and database integration through multiple hands-on labs. Worked on a capstone involving complete data retrieval, processing, and visualization workflows.
Completed a rigorous 6-course series covering algorithmic thinking, graphs, greedy algorithms, DP, string algorithms, and performance optimization. Solved graded coding challenges and a capstone focused on efficient algorithm design.
Gained full-stack JavaScript expertise including ES6+, React, Redux, Node.js, Express, API design, CI/CD, Docker, Kubernetes, and cloud-native development. Built a JS capstone deployed using containerized microservices.
Completed a foundational 5-course program focusing on Java programming, debugging, modular design, algorithms, and interactive GUIs. Built multiple Java apps and a recommendation system as a capstone.
Developed strong expertise in SQL, MySQL, database modeling, indexing, transactions, and backend integration using Python & Django. Completed hands-on labs and a database-driven capstone project.
Learned enterprise backend development using Spring Core, Spring Boot, REST APIs, DI, microservices patterns, Spring MVC, and Spring Data. Built scalable backend services using industry-standard design.
Completed a full-stack program covering Java fundamentals, frontend (HTML, CSS, Angular), backend (Spring Boot, REST APIs), and deployment workflows. Built multiple end-to-end applications.
Mastered core AWS services including EC2, S3, IAM, VPC, Lambda, RDS, and CloudFront. Learned cloud architecture, serverless development, scalability principles, and workload deployment on AWS.
Developed strong foundations in C/C++ including memory management, pointers, data structures, algorithms, and modular programming. Built multiple programs reinforcing low-level computing concepts.
Gained real-world analytics skills including data cleaning, SQL queries, R programming, visualization, and dashboard creation. Completed case study projects simulating business analytics workflows.
Mastered modern Android development with Kotlin, Android Studio, UI design, asynchronous programming, debugging, app architecture, and industry best practices. Built a full Android app in the capstone project.
Completed a focused OOP track covering classes, inheritance, polymorphism, generics, GUIs, and data structures. Built multiple Java applications and completed a final OOP-driven project.
Developed strong data science skills including Python, SQL, ML models, visualization, statistics, and predictive analytics. Completed labs and a capstone involving full exploratory and predictive modeling.
Completed training in cloud consulting fundamentals including cloud assessment, AWS solution design, security, migration strategies, and cost optimization. Deployed serverless workloads using AWS best practices.
Learned IT support essentials including troubleshooting, networking, operating systems, system administration, security, and automation using Python. Completed hands-on IT helpdesk simulations.
Completed an industry-recognized PM program covering Agile, Scrum, project planning, risk management, sprint execution, stakeholder communication, and end-to-end project delivery through a real-world capstone.
Below are the details to reach out to me!
Pune, India