Aditya Anant Deshpande

Project: ADO Automation

• Designed and implemented automated testing frameworks using Python, improving test efficiency and accuracy.
• Developed and executed test cases for multiple modules, ensuring full coverage and reliability.
• Integrated automated test scripts into CI/CD pipelines for smooth software releases.
• Debugged and resolved complex issues, enhancing software quality and reducing manual intervention.
• Worked across domains: AI (Computer Vision), AI-ML (VPU), Gaming, Connectivity (Bluetooth, WiFi), and Sensors.
• Trained and mentored interns and team members in the gaming domain, guiding them in developing and automating tests for in-game scenarios and performance evaluation.

AI (Computer Vision)

• Developed a custom Python library using OpenCV to automate facial recognition on the CVF platform for complex multi-face scenarios.
• Implemented facial recognition algorithms, utilizing dummy heads for real-time testing and simulation.
• Handled multiple scenarios, including distinguishing between Primary Dummy-heads and Onlooker Dummy-heads under challenging conditions (occlusion, lighting).
• Enhanced system accuracy and speed for concurrent face detections, improving real-world face recognition and tracking.

AI-ML (VPU)

• Automated benchmark commands to evaluate CPU, GPU, and VPU performance during inference tasks.
• Worked with deep learning models like YOLO, GoogLeNet, and MobileNet, using OpenVINO for optimization on edge devices.
• Designed scripts for consistent performance benchmarking across hardware architectures.
• Verified resource utilization and inference speed comparisons across CPU, GPU, and VPU.
• Tuned machine learning models for efficient VPU performance in edge AI applications while maintaining high accuracy.

Gaming

• Lead Engineer for gaming domain, developing an automation solution to test and evaluate game performance across platforms.
• Created Python packages to automate testing for different gameplay conditions, including stress testing under various graphics settings.
• Automated testing for 20+ games, including GTA 5, Dota 2, CS, Apex Legends, and DOOM, monitoring key performance metrics like lag, jitter, input delay and frame drops.
• Identified performance bottlenecks and optimized gameplay fluidity, collaborating with game developers and hardware engineers.
• Implemented reporting mechanisms to track performance and provide actionable insights for stakeholders on game performance.

• Demonstrated consistent punctuality, reliability and adaptability in diverse work settings.
• Conducted comprehensive testing using TestRail, including report generation and discrepancy rectification.
• Mastered professional correspondence techniques, industry trends, and office workflows to improve overall effectiveness.
• Acquired and applied knowledge of SQL and PL/SQL for database management and query optimization during the internship.