Oct 2023 – Jun 2025 · 1 yr 8 mos · Remote

• 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐝 𝐌𝐚𝐢𝐧 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞: Identified and resolved performance issues caused by bulk API calls, reducing UI lag by 40%. Added pagination in both frontend and backend api calls to handle large data loads in smaller chunks, boosting user retention by 25% and decreasing server load by 35%. Used offset based pagination with Java spring boot REST API for this.
• 𝐋𝐞𝐝 𝐭𝐡𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐨𝐟 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝 2.0 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Designed and implemented new features on top of Dashboard 1.0, completing development and testing within the set timeline. Managed backend development, created APIs for time interval-based logic, and integrated the frontend. Mentored a junior developer, delegated UI tasks, and collaborated with the product manager to refine requirements.
• 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐝 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 10+ 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐦𝐚𝐢𝐧 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝: Seamlessly added analytics like vehicle speeding and people/vehicle count etc, ensuring smooth integration and rigorous testing. Built frontend alert displays and developed backend APIs using Spring Boot for real-time data polling.
• 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐝 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐬𝐭𝐨𝐫𝐚𝐠𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐒𝐨𝐮𝐟𝐟𝐥𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭: Architected and implemented a backend API flow where uploaded images were stored in a dedicated backend folder, with only the image paths stored in the database. This approach reduced database space utilization by 60%, improving database performance and reducing costs.
• 𝐋𝐞𝐝 𝐭𝐡𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐨𝐟 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐔𝐈 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐒𝐨𝐮𝐟𝐟𝐥𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭: Implemented advanced functionalities like rendering multiple bounding boxes using HTML canvas on uploaded images based on coordinates received from the backend API. Enabled updating of bounding box coordinates and labels, leading to a 30% reduction in user errors during the labeling process.

May 2023 – Oct 2023 · 5 mos · Remote

• 𝐋𝐞𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐔𝐬𝐞𝐫 𝐦𝐨𝐝𝐮𝐥𝐞: Focused on enhancing the User module, driving over 50% of its functionality and ensuring a smooth user experience.
• 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐆𝐨𝐨𝐠𝐥𝐞 𝐌𝐚𝐩𝐬 𝐀𝐏𝐈: Enabled users to filter providers within a 5 km radius, leading to a 20% increase in user engagement.
• 𝐃𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐜𝐨𝐫𝐞 𝐝𝐚𝐭𝐚 𝐦𝐨𝐝𝐞𝐥𝐬: Created User, Services, and Booking models with optimized relationships, improving query efficiency by 10%.
• 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐞𝐝 𝐉𝐖𝐓-𝐛𝐚𝐬𝐞𝐝 𝐚𝐮𝐭𝐡𝐞𝐧𝐭𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Secured user data with JWT, reduced unauthorized access incidents, and served only protected routes to authorized users.
• 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐝 𝐮𝐬𝐞𝐫-𝐟𝐚𝐜𝐢𝐧𝐠 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐚𝐧𝐝 𝐀𝐏𝐈𝐬: Implemented key features like booking services, tracking status, and sorting providers by rating, resulting in a 25% increase in user satisfaction.

Jul 2022 – Apr 2023 · 9 mos · Bengaluru, Karnataka, India

• 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞𝐝 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐨𝐫 𝐜𝐫𝐞𝐚𝐭𝐢𝐨𝐧 𝐩𝐫𝐨𝐜𝐞𝐬𝐬: Worked in the research team to simplify the process of creating connectors, reducing redundant steps and improving efficiency by 20%.
• 𝐄𝐧𝐬𝐮𝐫𝐞𝐝 𝐜𝐨𝐝𝐞 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐞𝐬𝐭𝐢𝐧𝐠: Wrote unit, integration, and E2E testing for new features, ensuring 95% test coverage and minimizing production issues.
• 𝐑𝐞𝐬𝐨𝐥𝐯𝐞𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐛𝐮𝐠𝐬: Actively involved in diagnosing and fixing production bugs, improving system stability and reducing downtime by 15%.
• 𝐋𝐞𝐝 𝐭𝐡𝐞 𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 𝐦𝐨𝐝𝐮𝐥𝐞 𝐟𝐨𝐫 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐨𝐫𝐬: Managed the validation module project for connector creation and authored comprehensive test cases, leading to a 30% reduction in validation errors.

Jan 2022 – Jun 2022 · 5 mos · Bengaluru, Karnataka, India

Aug 2020 – Sep 2020 · 1 mo

• Used the kmeans clustering model from scikit-learn to group users based on their pricing habits from the dataset taken from kaggle:- https://www.kaggle.com/code/diegohurtadoo/customer-segmentation-kmeans-parameter-tuning
• Visualised the grouping with Matplotlib library in python and understood the people
• Used pandas library to manage the data and remove the null rows.