Rahul Choudhury Email and Phone Number

- Leading a team of 8+ engineers responsible for Core HR and Talent Products.- Implemented Agile methodologies during team expansion, resulting in a 15% increase in productivity.- Collaborate with cross-functional teams including product management, design, and quality assurance to define project scope, requirements, and timelines.- Streamlined the on-call process, achieving a 93% SLA adherence rate.- Facilitated the integration of the chatbot and background check, improving client onboarding and purchase flow, resulting in cost savings and facilitating new client onboarding.- Led the development of a remote delegate system using an event bus to facilitate the transfer of events between different services or systems.- Conducted performance evaluations, set goals, and initiated career development

Led efforts to enhance existing functionalities and incorporate new features across our suite of talent management products, including performance reviews, goal setting tools, one-on-one meeting platforms, engagement surveys, and HR vertical solutions like employee onboarding/termination systems and employee data management. Additionally, I oversaw the integration of core service APIs to streamline operations and improve overall product performance.

Shopping OS / Content SystemsProduct Aggregator - a high throughput, low latency compute engine that performs runtime aggregation of datafrom 40+ backend services. - Worked on addition of new and modification of existing business rules on them and produced authoritative data for product information used by amazon shopping portal's detail and search page.Content Resource Library - a service for storing and validating content metadata used for dynamic widget rendering. - Designed and Implemented a scalable and reliable service named CRL using AWS technologies and a self service tool for using it. applied a sequence of metadata validation steps using aws step function.dynamic indexing of data to make it queryable and document storage for fast retrieval.aws technologies used : lambda, step function, simple notification queue, simple queue service,dynamoDb, elasticSearch, apiGateway, cloudFormation, S3, amazon certificate manager, iam,nodejs.Responsible for maintaining healthy state of the system using Metrics and Monitoring.Involved in Monitoring and maintaining Backend and Frontend Applications.Handled On call load within the team to do root cause analysis for Bugs and their Fixes.Designed several components of the bigger system for Debuggability, Maintainability and Traceability.

Responsible for the inception, design and implementation of new features in the Data Processing Infrastructure of the Akamai Analytics Platform. A special focus on improving the scalability, reliability and performance of the platform, have experience writing software that deals with large volumes of data, can scale and run on thousands of machines.Improve the monitoring and operational capabilities of the Analytics Platform.Mentor junior engineers and lead implementation of projects by them.

The ‘Analytics Platform’ is a massively scalable, low-latency and fault-tolerant platform, which processes large data-sets and makes them available for querying.Several offline and real-time analytics products like Media Analytics, Audience Analytics, Viewer Diagnostics, Download Analytics, QoS Monitor, Security Monitor and other internal analytics solutions like Network Monitor are built on this platform.The customers are presented with a set of standard and custom reports to measure, analyze, monitor their content and gain valuable insights from the data.I worked in the processing layer of the platform called ‘DataProcessor’, which crunches heterogeneous logs (HTTP, streaming, etc.) in parallel using the Mapreduce paradigm.

Designed and developed a generic python based automation framework for scale/performance and functional based testing.Explore and assess the suitability of open source software to improve systems.like, mapreduce, glusterfs, tachyon, hive, presto, apache cassandra, apache spark, nginx

Helped in monitoring the existing systems by writing few cli/ui based tools.Determine server health, data-consistency across storage replicas.