Subhajit Adhikary Email & Phone Number

• 𝐋𝐞𝐝 𝐭𝐡𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐨𝐟 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐔𝐈 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐒𝐨𝐮𝐟𝐟𝐥𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭: Implemented advanced functionalities like rendering multiple bounding boxesusing HTML canvas on uploaded images based on coordinates received from the backend API. Enhanced user interaction by enabling the updating of bounding box coordinates and label tags, with seamless saving of these changes to the database, leading to a 30% reduction in user errors during the labeling process.• 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.• 𝐑𝐞𝐬𝐨𝐥𝐯𝐞𝐝 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐔𝐈 𝐢𝐬𝐬𝐮𝐞𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐀𝐝𝐬𝐜𝐨𝐩𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭: Identified and fixed persistent UI distortion caused by dynamic ad data overflow, resulting in a cleaner and more responsive user interface. This improvement led to a 15% increase in customer engagement and a 20% reduction in UI-related customer support tickets.• 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐉𝐚𝐧𝐮𝐬 𝐖𝐞𝐛𝐑𝐓𝐂 𝐬𝐞𝐫𝐯𝐞𝐫 𝐟𝐨𝐫 𝐥𝐢𝐯𝐞 𝐬𝐭𝐫𝐞𝐚𝐦𝐢𝐧𝐠: Successfully integrated Janus WebRTC into our platform, following open-source documentation to facilitate real-time video streaming on the UI. This integration resulted in a 25% increase in live-stream viewer retention and a 30% improvement in stream load times, achieved through thorough debugging and testing.

• 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.

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.

• 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.

Bachelor Of Engineering - Be, Electronics And Communication Engineering, 8.97 Cgpa

Science, A