GOUTHAM GANDI

· AI Analytics and Test Framework Development - Designed and developed a new analytics and test framework for Qualcomm’s AI block- NPU, cutting debug time by 50%, improving overall efficiency and effectiveness.

· Enhanced Test Coverage of AI - Analyzed escaped defects and implemented improvements, increasing test coverage by 30% year-over-year. Test Coverage included validation of new AI models like CNNs, RNNs etc.

· Debugging, Reproduction, and Issue Resolution - Led efforts to debug, reproduce, and resolve complex issues, ensuring timely and efficient solutions for improved product stability. Focus on the validation of latest AI Models.

· Customer Engagement - Engage with customers to address their requirements and provide technical support, ensuring successful integration and issue resolution.

· Camera Automation Test Framework Development - Developed a comprehensive automation framework in Python and C++ for camera testing, reducing manual testing cycles to just one, with automation handling the remaining tests. This resulted in a 90% reduction in overall time and effort. Successfully reduced camera testing and issue resolution turnaround time by 60%.

· Camera Driver Validation and Verification - Conducted thorough validation and verification of camera drivers on Intel Core platforms, ensuring reliability and seamless operation. Responsible for triaging, debugging, reproduction of camera-related issues and ensuring high-quality performance during software driver release.

· Automation of Driver Package Deployment - Automated the driver package creation and deployment process for customer consumption, cutting down process time by 90%.

· OEM Customer Engagement - Collaborated closely with major OEMs such as Lenovo, Dell, Fujitsu, and Panasonic, addressing their specific requirements and ensuring smooth integration of camera systems.

Co-Founded an AI-driven agricultural startup focused on early detection of plant diseases to improve crop yields for farmers.

· Developed cutting-edge algorithms using Computer Vision AI models for early disease detection and classification in plants.

· Implemented advanced AI techniques such as SSD and YOLO for accurate identification of plant diseases.

· Integrated rover-based GPS sensors for precise localization, enabling real-time monitoring and actionable insights for farmers.

· Test Case Development and Execution - Developed and executed comprehensive test cases for Intel NIC firmware, ensuring product reliability and performance.

· Linux Kernel Networking Driver Enhancement - Implemented address matching algorithms in Linux kernel networking drivers for Intel NIC products, improving efficiency and accuracy.

· Performance Benchmarking - Conducted performance benchmarking of Intel NIC products on L3/L4 network layers, providing key insights into product performance and optimization.

· 4G/5G Firmware Automation - Design, Develop and Execute 4G/5G Firmware Test Cases.