GAURAV MADHAV

• Developed robust, scalable, modular and API-centric infrastructures.
• Conducted data modeling, performance and integration testing.
• Documented software development methodologies in technical manuals to be used by IT personnel in future projects.

Amazon Robot (Astro):

• Astro is a home robot from Amazon designed to help customers with a range of tasks like home monitoring and keeping in touch with family.
• Worked on developing multiple new experiences for Astro using LLMs like Anthropic, Cohere and Amazon Nova backed by VectorDB (OpenSearch).
• Designed and developed high-performance, scalable RESTful APIs on containerized services (ECS-Fargate) instance to handle Astro's response under different security incidents using Python/Java.
• Persisting device configuration in NoSQL database(DynamoDB) and caching device subscription information using Memcached and Redis.

Amazon Web Services (AWS):

• Worked on developing new AWS solutions to monitor AWS hardware worldwide using Python.
• It listens to hardware failure event and trigger standard operating procedure for hardware error correction using AWS SNS/SQS.
• Monitoring and Dashboard setup using AWS Cloudwatch and Quicksight

Alexa:

• Partnered across multiple teams in Alexa to drive the design and develop the Natural Turn Taking (NTT) experience for Alexa devices. NTT is an initiative to enable Alexa to have more natural, wake-word-free conversations with the customer.
• Worked on developing backend service using AWS Lambda to manage NTT state on Alexa device.

Amazon Retail:

• Amazon Fashion: Worked on AI/ML model integration, training, and deployment with data pipelines(ETL) using AWS Glue.
• Retail Business Services (RBS): Worked on automating different retail workflows and auto-resolution for Amazon fulfillment issues.
• Global Action Trace (GAT): It is a tracing and debugging tool that enables thousands of teams at Amazon to understand their service's ecosystem better, and pinpoint application performance problems using Apache Spark and Kafka on AWS EMR.
• Annotation Management System (AMS): It is an internal platform developed using Javascript and React framework that allows product classification made by different ML models, and publish accuracy scores. The backend is supported by AWS GraphDB (Neptune)

• Secure Configuration Manager is a security configuration assessment and compliance monitoring tool
• It proactively assesses system configurations against regulatory requirements and best practices to comply with corporate policies, and manage information security risk.
• Integrated multiple security standards and regulations, like PCI DSS, HIPAA, and SOX using Python
• Ensured compliance with security policies when designing software components.

• Responsible for building and maintaining complex, high-volume, and high-performance systems for real-time order management and automation systems supporting the Firm's equities trading businesses using C/C++.
• Analyzed large trading datasets with statistical methods and software programs.

• Worked on different features for the Avaya VOIP phone, such as Push2Talk, a touch screen keyboard, and a phone directory using C/C++.
• Developed software solutions to run on CentOS (RTOS).
• Programmed applications and tools using object-oriented languages with goals of code abstraction, stability and reuse.