Sameer Sharma is a software engineer with 8 years building scalable ML and platform infrastructure across high-growth environments in London and earlier in India. He has driven containerized ML workloads, resource-allocation efficiency and model-serving platforms at Yelp and Flipkart, and now works on systems at Meta. A hands-on engineer with DevOps experience, he contributed to Yelp’s open PaaSTA project by enabling Dynamic Resource Allocation for Spark, improving resource utilization and reliability in a widely used PaaS. Comfortable across microservices, orchestration and hardware-aware scheduling, he blends pragmatic implementation with production-grade validation and logging. Outside work he brings a lifelong love of sports, which informs his collaborative, performance-oriented approach.
8 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Contributions:54 reviews, 10 commits, 52 PRs in 8 months
Contributions summary:Sameer primarily contributed to the configuration and enhancement of the PaaSTA platform's Spark run functionality. Their work focused on enabling and configuring Dynamic Resource Allocation (DRA) for Spark jobs, optimizing resource utilization. They made changes to the `paasta_tools/cli/cmds/spark_run.py` file, adding flags and configurations to enable DRA, validating pool configurations, and integrating the DRA configurations. These changes involved improvements to logging, and added validations to ensure a more robust Spark execution environment.
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