Aditya Sharma is a Program Manager at Microsoft with nine years of experience bridging machine learning engineering and product delivery. He has hands-on ML expertise, notably contributing to Microsoft’s AutonomousDrivingCookbook by developing reinforcement learning models, integrating them with the AirSim simulator, and deploying distributed training on Azure. Comfortable translating research-grade models into scalable pipelines, he blends technical depth in Keras-based RL with program-level orchestration across cross-functional teams. Based in India, he brings a pragmatic focus on reproducible workflows and cloud-enabled experimentation that helps move autonomous driving prototypes toward production.
Scenarios, tutorials and demos for Autonomous Driving
Role in this project:
ML Engineer
Contributions:27 commits, 6 PRs, 23 pushes in 8 months
Contributions summary:Aditya primarily contributed to the development and enhancement of reinforcement learning models within the context of autonomous driving. Their commits focused on preparing data, defining model architectures, and implementing training procedures using Keras. They also worked on setting up distributed training environments using Azure services and exploring the reinforcement learning algorithm and related concepts. Furthermore, they integrated the models with the AirSim simulator to drive the car.
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