Frontend Developer at Applied Materials

• Developed and deployed five AI-powered SaaS applications using the MERN stack during intense one-week sprint cycles, which optimized the applications for both scalability and maintainability, ultimately enhancing user experience.
• Led the backend integration for a flashcard generation platform utilizing Groq API, enabling real-time content delivery along with dynamic pricing models and embedded paywalls, which improved the monetization strategy for the platform.
• Collaborated effectively as part of a three-member agile team, conducting thorough code reviews and CI/CD deployments, which ensured high-quality code and streamlined release processes.
• Optimized REST APIs to achieve 30% faster response times, significantly enhancing the overall performance of the applications and providing a smoother experience for end-users.

• Contributed to the InsightSync open-source project, enhancing user experience by redesigning responsive frontend interfaces using JavaScript, HTML/CSS, and Bootstrap, which made the application more accessible on various devices.
• Collaborated effectively with distributed teams to refactor legacy codebases, which helped improve code maintainability and made future updates easier to implement.
• Integrated modular components into the project, which streamlined development processes and allowed for faster feature additions in response to user feedback.

• Developed an intelligent roommate matching system using a combination of rule-based and machine learning architectures, which effectively assessed compatibility based on factors like sleep patterns, noise tolerance, and academic routines.
• Engineered preprocessing pipelines utilizing MinMaxScaler and OneHotEncoder, which transformed numeric and categorical preferences into a format suitable for machine learning input, ensuring accurate compatibility assessments.
• Designed a scalable Flask API to compute cosine similarity across student vectors stored in MongoDB, allowing for efficient roommate matching with a compatibility score of 0.75 or higher, which included fallback logic for any unmatched entries, ensuring no student went without a match.

• Developed a fully functional food delivery app, which streamlined the ordering process for users, leading to a 25% boost in customer satisfaction ratings.
• Implemented a real-time tracking feature, helping customers know exactly when their food would arrive, which resulted in a 30% decrease in inquiries about order status.
• Enhanced the app's backend database structure, allowing it to support 50% more simultaneous users without any performance issues, thereby improving the overall user experience.
• Collaborated with a design team to create an intuitive user interface, which drove a 40% increase in user engagement and repeat orders within the first three months of launch.

• Developed a real-time chat application featuring both private messaging and group chats using WebSockets via Socket.io, which ensured smooth, low-latency communication for users.
• Implemented user authentication with JWT and Firebase Auth to support secure registration and login workflows, helping to enhance user security and trust in the application.
• Deployed Firebase Cloud Messaging (FCM) to deliver real-time updates, which achieved a remarkable 99.9% message delivery success rate and significantly reduced average user response time by 600 milliseconds, bringing it to under a second for a better user experience.

Specialization in Artificial Intelligence and Machine Learning, CGPA: 8.00

• Collaborated with a team to organize and lead monthly workshops, which provided valuable technical training for over 100 participants, helping to boost their coding skills and confidence in tech-related projects.
• Developed promotional content for local events and initiatives, increasing attendance by 30%, which helped foster a stronger community engagement within the group.
• Coordinated feedback sessions with attendees after events, gathering insights that informed improvements for future programming, ultimately enhancing participant satisfaction and learning outcomes.
• Assisted in managing social media platforms, which resulted in a 50% increase in online interactions, helping to raise awareness about our group and attract new members.

• Facilitated workshops on branching strategies and pull request workflows, which improved project merge efficiency by 40%, making collaboration smoother for all team members.
• Developed and provided guidance on version control hygiene, helping teams adopt best practices that minimized errors and enhanced productivity.
• Acted as a technical advisor across multiple repositories, which enabled teams to effectively debug issues and expedite their development processes.
• Streamlined CI/CD pipelines for various projects, helping teams deploy updates faster and reduce downtime.