
Worked on the Meesho/BharatMLStack repository to deliver two foundational platform features supporting real-time data processing and performance measurement. Developed an online feature store Kafka consumer using Go and Docker, initializing logging, metrics, and a Kafka listener to process normalized entities efficiently. Additionally, created a Bash script to automate Go benchmark execution, generating versioned outputs and supporting optional CPU and memory profiling for targeted or full-suite runs. The work emphasized distributed systems, benchmarking, and microservices, providing standardized tools for both feature delivery and engineering efficiency. No major bugs were addressed during this period, with efforts focused on new capability development and automation.
May 2025 (Meesho/BharatMLStack) focused on delivering two key platform capabilities to enable reliable real-time feature processing and standardized performance measurement, driving both product value and engineering efficiency.
May 2025 (Meesho/BharatMLStack) focused on delivering two key platform capabilities to enable reliable real-time feature processing and standardized performance measurement, driving both product value and engineering efficiency.

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