1. Developing a scalable GUI tool for bulk file conversion, integrating Python with SQL for data management and enabling users to view details of the converted files extracted from a MySQL database. Implemented custom features that allowed users to preview the converted cells and selectively choose which ones to store in the database. For example, users could filter out unnecessary or redundant cells, reducing database storage requirements and optimizing the workflow by only storing the relevant converted cells.2. Created a GUI using Python for filtering and analyzing hierarchical data, leveraging JSON parsing and tree view widgets.3. Managed environment and infrastructure setup, debugging software issues and implementing solutions across various tech projects.

1. Developed Python-based GUI tools for viewing hierarchical design data in tabular format, seamlessly integrated with Cadence's Virtuoso IC design suite. Maintained and optimized Perl database scripts used by Virtuoso.2. Designed and developed a project release verification website with MySQL database integration for status tracking and updates related to Virtuoso-based IC design projects.

Face Recognition System - Designed and trained CNN based on Siamese architecture to learn face embedding and map them to Euclidean space, where the distances represented measures of facial similarity. Implemented this system to identify and recognize human faces in real-time digital video feeds.

Project Management Dashboard Enhancement-Contributed to improving the project management dashboard by focusing on graph enhancements across multiple domains. Designed and implemented a dynamic front-end interface to facilitate program summary visualization within the dashboard. Additionally, integrated cron jobs for task scheduling and enabled efficient management of the hosting environment, including database administration. Further, customized the GUI to incorporate checklist functionality, enhancing the user experience for various programs within the dashboard.

Quality Analyzer Website - Designed a web application QAnalyzer replacing excel sheets for quality analysis of monthly exam results in batches using .Net and JavaScript by enabling users to input data, set parameters, and generate detailed reports through an intuitive interface. It utilizes SQL for database management, facilitating efficient storage and retrieval of exam data

Hotel Management Website-Designed and implemented a website to provide real time information of availability of rooms in a hotel. The project included automation of reservation and billing system, online room booking facility and booking confirmation sent to e-mail.

The project aimed at developing a method to quantify the aesthetic quality of natural images, discerning between high and low aesthetic value. Designed and extracted various visual image features, such as spatial convexity, among others, to quantify and differentiate between images with high and low aesthetic value. Modelled this as binary classification problem and trained a SVM classifier on features extracted from a set of images that were manually labeled with high (1) and low (0) aesthetic ratings. The classifier achieved an accuracy of ∼ 78% when tested on test data.