<aside> 📢 AI & Robotics Engineer with 3+ years of experience in chatbot development, AI model training, and EV embedded systems. Certified in AI & ML from the University of Texas at Austin in the United States. Skilled in prompt engineering, LLM evaluation, and hardware troubleshooting. Currently preparing for a Master’s in Germany focused on AI, Robotics, IoT, or Embedded Systems.
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**https://www.mygreatlearning.com/eportfolio/sudimalla-sunil**
I'm a creative thinker, a problem solver, and an avid learner, always exploring new trends and techniques in design. When I'm not pushing pixels, you can find me with a sketchbook, capturing the world or lost in the pages of a good design book.
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 specialise in training large language models (LLMs), creating optimised 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.
Embedded Systems Intern (Freelancer – Skill-Lync) Built EV-based embedded systems using Arduino & STM32; designed and tested real-time applications in Embedded C.
Specialising in chip-level repairs for laptops, smartphones, and LED/OLED TVs; focused on SMPS and power circuit diagnostics.
