Volunteered with IAN (ian.ong) to support the development and optimization of the platform, progressively contributing as an Alpha Tester and Beta Tester.

• Identified and reported critical bugs impacting platform performance, security, and user experience.
• Provided detailed UX feedback to enhance interface usability, addressing issues like auto-scrolling and response delays.
• Suggested key feature enhancements, including search options, query editing, and context-based conversation segregation.
• Proposed security improvements such as admin notifications and differentiated access controls for private and public circles.
• Played a pivotal role in model optimization, ensuring efficient and accurate query responses.
• Tested the new website (ian.ong), identifying usability issues and validating new features to ensure seamless user interaction.
• Contributing to the inaugural documentation of the IAN project, outlining platform architecture, features, and guidelines.

Worked as Research Assistant at Sustainable Equity Allocation Resources (SEAR) Lab. Here I got exposed to ArcGIS a Geospatial Information Systems software and analytics platform. Improved my research skills and shared knowledge on GIS to peers.

• Conducted range analysis using ArcGIS Pro for Electric Vehicles of different types in the USA, highlighting the maximum area an EV can cover in one charge.
• Reconstruct a 3D layout from a 2D neighborhood map of LIDAR points using ArcGIS Pro that involves deep learning techniques with an accuracy of 90%
• Investigated and analyzed maps of different critical infrastructures in Texas using ArcGIS. The investigation highlights the accessibility of infrastructure based on income and demography.

Worked in a fast paced early stage startup. Here I gained experience on agile development, developed knowledge in Computer Vision, researched different models, libraries to create prototype and deploy on the web. I also learned about REST API’s, AWS EC2, S3, Flask for backend.

• Deployed a computer vision-based model for analyzing post-joint surgery exercise videos, reducing the costs of hiring additional physiotherapists by 5% and successfully managing 100+ patients.
• Employed a proven AI algorithm to interpret medical device readings with an impressive 95% accuracy, enabling real-time data transmission to healthcare providers and enhancing patient care.
• Leveraged data scraping techniques to assemble a culinary database, supporting an NLP-based diet planner with over 5,000 recipes from the Indian subcontinent.
• Developed and maintained software solutions using Python, ensuring efficient data handling and process automation
• Participated in design reviews and provided feedback on code quality and best practices.

Interned at one of biggest FMCG’s and leading brand in the world. For the first time I exposed my computer science and data engineering and analytics skills in an industrial setting. I utilized the power of google forms, google sheets to create a reporting system for anomalies in equipment in the factory.

• Developed a web-based tool to streamline equipment maintenance reporting, boosting operational efficiency by 40%.
• Led training initiatives that enhanced workforce productivity by 15%, optimizing manufacturing processes.