*. Enhanced Customer Interaction Processes with AI Models. Employed Natural Language Processing (NLP) and Machine Learning (ML) to train AI models using Natural Language Toolkit (nltk) and SpaCy to enhance customer interaction processes; Developed models that generated automated message responses, summarized key features from customer reviews and contracts. This initiative led to 30% increase in response efficiency. Created Microsoft Power Automate workflows integrated with MySQL database, enabling real-time monitoring social media posts, facilitating faster feedback for reviews*. Optimized Document Management and Insights Extraction. Applied OpenAI’s large language models (LLMs) to improve the extraction of insights from large document volumes in Office365 SharePoint. Independently implemented a Python script to automate processes for file reading, archiving, and management using Python (NumPy, Pandas); Leveraged Office365 SharePoint REST API for efficient file searching, downloading/uploading processes, enhancing document management workflows significantly. Optimized cloud integration of document storage solutions by integrating with Microsoft Azure Blob Storage, which helped reduce local storage demands and improve data accessibility for stakeholders

Algorithm Analysis & Data Structures, Computer Networking, Operating System, Discrete Mathematics, Data Visualization, Artificial Intelligence, Object Oriented Design, Machine Learning

1. Annotation Tool for Cell Identification *. Developed a web-based medical image annotation tool using MySQL to store and manage cell images. Designed and implemented a front-end interface with JavaScript to enable users to extract and archive single image of interests, facilitating the identification and labeling of cell nuclei for further pathological research*. Deployed Machine Learning models for cell nucleus detection, utilizing Python scripts to classify cell images. Addressed overfitting issues by refining model architectures and optimization techniques, enhancing accuracy and ensuring reliability for future data predictions 2. Nebula Labs Schedule Web Planner *. Designed and implemented a campus website platform for UT Dallas students to visualize and plan their degree paths (https://lnkd.in/gVC-75Fy ). Built the front-end using React and back-end services with Java Spring Boot to deliver a seamless and scalable experience*. Developed the front-end application in TypeScript, ensuring high-quality, maintainable code and optimal site performance. Enhanced user experience and streamlined the course planning process, resulting in a 50% increase in user engagement and positive feedback from students and faculty. The platform saved users an average of 5 hours per semester in course planning

*. Developed Data Processing Algorithms for Autonomous Underwater Vehicle (AUV). Designed and implemented data processing algorithms for Robotics — AUV using Python on Linux. Developed reinforcement learning-based decision-making algorithms for autonomous navigation, significantly boosting the efficiency and accuracy of AUV pathfinding and obstacle avoidance. Developed Python unit test scripts to compare algorithm outputs with known ground truth for robot navigation prediction and 3D sonar modeling accuracy, with thorough documentation and issue resolution*. Enhanced SLAM Algorithm with Advanced Mapping Techniques. Updated SLAM (Simultaneous Localization and Mapping) algorithms on topographic smooth voxel mapping in C++. Integrated the g2o framework to generate sonar images and build full 3D maps, achieving unprecedented mapping precision, significantly improving mapping accuracy by reducing coordinate prediction errors from decimeters to less than 0.1 micrometer. Leveraged JAX for GPU-accelerated JIT-compiled functions, optimizing robotic response times

*. Developed a global social media platform using Agile methodologies, incorporating features such as posting, sharing, friend/follow systems, and messaging. Implemented core functionalities using the Spring MVC framework, leveraging design patterns such as Spring DAO (Data Access Objects), ORM mappings, and controller components. Designed and optimized a MySQL database to efficiently manage user data, integrating XML APIs for seamless data updates and retrieval. Addressed and resolved concurrency challenges in database operations by applying MyBatis, ensuring reliable and scalable performance