September 2024
• Participated in the back-end architecture design decisions of customizable LLM services for client documents.
June 2024
• Developed AI models to predict spectator engagement in national television shows with 80% prediction precision.
• Conceived Autonomous Data Annotation tools using Machine Learning & Web Scrapping saving 15% of time.
• Maintained & composed a Web-Application which performs IATs capable of handling 100+ users concurrently.
• Created a tool for tracking conference guests automating identification, reducing reception staff time by 60%.
• Made tools for video concatenation and lossless compression that sped up media processing workflows by 20%.
November 2023
• Implemented Neural Networks to train robots in virtual environments, reducing operation costs by up to 20%.
• Improved the training pipeline to download, & compress videos on demand reducing memory footprint by 186%.
• Created tools for data annotation & model validation which helped fine-tune the models to boost accuracy 4%
• First-authored 1 research article about Computer Stereoscopic Vision at the Artificial Intelligence Department.
June 2023
• Created and modelled 3 virtual environments for human behaviour mimicking and action recognition in OVR.
• Optimized the rendering pipeline by 36% to boost the frame rate achieving a consistent 80 frames-per-second.
• Made a wireless action logger and video capture protocol, automating video script labelling for future playbacks.