●Enhanced the self-driving car's perception system by integrating TensorFlow with image detection cameras, achieving a 55% improvement in object recognition accuracy through the application of semantic segmentation, and reducing false-positive detections. ●Implemented risk-aware scene generation using the CARLA simulator, integrating Guided Bayesian Optimization (GBO) and Random Neighborhood Search (RNS) samplers to create 85 high-risk scenarios, enhancing 65% safety of the vehicle.●Conceptualized a lane-changing algorithm using lane detection, GPS, and leveraging a Raspberry Pi for GPS data collection, Jetson Nanowith Python and CUDA for real-time processing, enabling the vehicle to perform accurate lane changes with 90% precision.

• Engineered a design application to detect theft patterns and merge different incidents into a single investigation to report crimes 50% faster• Facilitated focus groups of Industry Professionals aged 18–65 to gather insights and inform the application’s design.• Created Personas, Scenarios, Storyboards, and Prototypes to provide insights into the application while boosting accuracy by 15% byincluding parameters (Age, location, hair color), achieving a 95% rating from the evaluators.

●Addressed 12 software development interns, achieving a 94% on-time deadline rate and enhancing team efficiency by 62% through the use of Azure DevOps to streamline workflows. Utilized Jenkins to decrease development time by 40% and lower post-launch issues by33%.●Engineered Selenium and Appium for automating facial recognition and hair analysis testing across Android, iOS, and web platforms.This approach reduced distortion and image processing time by 35% and decreased lateral chromatic aberrations by 40%.●Led video and image quality testing, VMAF, and IMATEST collaborating with third-party ISP vendors and ODMs. Employed advanced image processing technologies such as denoising with Neat Video, sharpening, tone mapping, and auto-white balance/focusalgorithms. These efforts increased user satisfaction by 60%.

●Deployed REST APIs using tools like Swagger and Postman, enabling seamless integration with Stripe for an eCommerce platformutilizing Redis for efficient caching and real-time data access, resulting in a 39% reduction in API response times.●Created interactive dashboards in Tableau, integrating data from SQL and Python. Created visualizations using plotly that improveddecision-making, resulting in a 30% increase in operational efficiency and a 25% boost in sales performance.●Managed media content using AWS S3, maintaining a 98% data integrity rate by leveraging CloudTrail and S3 storage classes, ensuringthe preservation of crucial files without any loss or corruption.