Ansh Gopinath
a creative CS student.
a creative CS student.
I’m a driven and creative computer science student at Arizona State University, blending artistic flair with technical expertise to create innovative, visually appealing solutions. Passionate about exploring new technologies, I enjoy pushing boundaries and designing solutions that are both effective and impactful, combining the best of technology and art.
Currently pursuing a B.Sc. in Computer Science with a focus on algorithms, data structures, and full-stack development. I have experience as a Teaching Assistant and Campus Safety Aide Supervisor, where I honed my skills in data analysis, automation, and team collaboration.
August 2023 – December 2023
Managed and analyzed academic performance data of over 200 students, identifying trends and areas for improvement. Conducted personalized weekly office hours supporting students in Java, C, C++, Scheme, and Prolog. Developed automated grading scripts using Python, reducing grading time by 50% and increasing consistency. Designed and led exam review sessions, enhancing student understanding and engagement. Collaborated with faculty to create and update course materials, ensuring alignment with industry standards.
July 2022 – Present
Analyzed campus safety data to formulate and implement methods that reduced incidents by 20%. Utilized ArcGIS QuickCapture for efficient data collection and created visualizations for strategic decision-making. Developed and maintained dashboards for real-time monitoring of campus safety metrics. Collaborated with campus safety teams to deploy data-driven solutions, improving response times by 15%.
Developed "Arian," a dynamic fighter platformer game featuring 10 unique characters and over 50 dynamic backgrounds using Python and Pygame. Integrated Google Cloud services for user authentication and high score tracking, ensuring secure and scalable data storage. Optimized game performance to maintain smooth gameplay, achieving a 99% uptime during testing. Enhanced user experience with real-time leaderboards and cloud-based progress tracking, resulting in a 30% increase in player retention.
Developed "Eagle Eyes Search" for Search and Rescue (SAR) operations, utilizing drone imagery and AI for real-time object detection and georeferencing. Implemented color-based detection algorithms with OpenCV and TensorFlow, enhancing accuracy by 25%. Integrated YOLOv8 with Anomalib for anomaly detection, reducing false negatives by 22% and improving PR-AUC from 0.284 to 0.365. Automated data processing pipelines with Python, enabling real-time performance monitoring and reducing manual processing time by 50%. Optimized detection models, achieving a 10% increase in accuracy and efficiency.
Developed EffortLogger, a robust project management platform handling over 1 million records with a secure SQLite database. Implemented a user-friendly JavaFX UI, enhancing task management efficiency by 40%. Integrated Spring Security to fortify the platform's security framework, ensuring data privacy and integrity. Created custom APIs for seamless data synchronization, improving workflow efficiency by 35%. Optimized backend processes to support high-volume data operations, maintaining responsiveness under heavy usage.
Designed a 3D tactile map integrated with Braille features to enhance navigation accessibility for visually impaired students at ASU. Led a multidisciplinary team in deploying tactile maps across campuses, improving accessibility for 4% of visually impaired students. Utilized Fusion 360 for precise 3D modeling and 3D printing to create durable prototypes. Collaborated with accessibility experts to ensure compliance with user needs, resulting in increased campus-wide accessibility.
Led the development of an interactive digital exhibit for the Mesa Historical Museum using React, enhancing visitor engagement for over 1,000 visitors. Integrated custom touch hardware for hands-on interaction, providing an immersive educational experience. Implemented interactive animations and multimedia content, increasing visitor engagement by 30%. Optimized the React application by reducing load times by 45%, ensuring smooth performance and high accessibility standards.
Designed and developed CourseSphere, a comprehensive platform serving approximately 80,000 ASU students, providing access to course information, professor reviews, Reddit posts, community discussions, and a career assistant. Built the backend with Express.js and Node.js for efficient data handling and scalability. Implemented real-time web scraping with Python and Selenium, aggregating data from RateMyProfessor and Reddit to enrich content. Integrated a community forum and chatbot using JsDelivr, facilitating personalized course recommendations and fostering active student engagement.
