Sunil Sudimalla

Background

About Sunil Sudimalla

I am a multidisciplinary engineering professional with over three years of freelance experience at the intersection of Artificial Intelligence, Robotics, and Embedded Systems. My background in Electrical and Electronics Engineering, combined with hands-on expertise in AI model training, prompt engineering, and hardware troubleshooting, enables me to contribute effectively to both software and hardware-driven innovation.I have recently completed a Postgraduate Program in Artificial Intelligence and Machine Learning from the University of Texas at Austin, achieving a CGPA of 3.4/4.0 (April 2025). Additionally, I hold a postgraduate certification in Embedded Systems for Electric Vehicles from Skill-Lync, and multiple certifications in LLM technologies, search evaluation, and AI-based startup innovation.As an AI Trainer at Outlier, I specialize in training large language models (LLMs), creating optimized prompt structures, and evaluating AI-generated responses for contextual accuracy and usability. My freelance work with Appen includes evaluating search engine performance and relevance, supporting some of the world's leading tech platforms.With a foundation in chip-level repair and power systems, I have successfully worked on projects involving LED/OLED display repair, SMPS diagnosis, and COF bonding techniques. My final-year engineering project, a Multi-Purpose Agriculture Robot, was internationally published and exemplifies my ability to integrate AI with practical engineering applications.Currently, I am preparing to pursue a Master’s degree in Germany, focusing on advanced areas such as AI, Machine Learning, Robotics, IoT, and Embedded Systems for EVs.I am passionate about leveraging intelligent technologies to solve real-world problems and am open to academic and collaborative opportunities that drive innovation at scale.