Lohith Katari

Refactored and optimized AI data pipelines in Python, improving model training efficiency by 20%. Researched emerging AI agentic workflows contexts and authored an internal report on the applicability of AI in Blomso’s software development. Debugged data ingestion and spectral analysis scripts, increasing dataset accuracy for soil sample classification. Collaborated with startup founders to manage field operations, data collection, and website content updates.

Founded and led an independent robotics club, organizing meetings and managing team operations. Designed, built, and programmed a competition robot using proprietary control systems. Programmed tank-style controls and autonomous routines for on-field tasks with limited sensors. Led team to a Top 5 State Competition finish and earned the Judges' Award for innovation.

Led a 4-member team developing a Unity-based educational game. Implemented gameplay systems in C# and integrated 3D assets, animations, and responsive UI. Analyzed neurodivergent learning styles to develop inclusive and effective gameplay mechanics. Delivered and presented the final prototype to industry experts, applying accessibility and UX design feedback.