Enhanced Crane’s Warehouse Management System’s API with performance tests for stored procedures, included in the CI/CD workflow in GitHub Actions.

Refactored unit and integration tests that were stagnant with the help of Copilot, by first creating an inventory of tests and their dependencies and then selectively enabling them. Documented all tests to enable future refactoring sessions with the help of Claude/Copilot.

Improved performance of Azure Timer Trigger Functions by 75% by staggering their execution times, after investigating performance metrics that spiked during on-call periods.

• Contributed key features and bugfixes to Walmart's Dark Canary testing platform and its GraphQL service, enhancing application onboarding, reliability, and observability.

• Designed and implemented an event-driven application onboarding workflow with Elasticsearch, GraphQL mutations, and GitHub APIs accelerating real-time integration. This enabled onboarding of 70+ production services to the Dark Canary platform.

• Built a highly concurrent and performant service using Go channels, lazy sequences, and wait groups to analyze organization-wide Kubernetes deployments for onboarding eligibility.

• Devised a lazy-fetching algorithm in GraphQL to download static assets on-demand from Azure Blob Storage using Express.js middleware, drastically reducing memory consumption.

• Developed a novel Slack interface in Go with web-socket handler functions to allow triggering server-side actions from Slack. Users could use specific verbs and arguments to check app permissions, launch dark canary tests, and perform onboarding.

• Optimized GraphQL resolvers with dynamic rate limiting, caching, and concurrency controls, adding reliability and system perfor- mance.

• Added Prometheus metrics and Grafana charts for GitHub API monitoring and GraphQL resolver executions for better observability and debugging.

• Achieved 80% code coverage in Go and GraphQL packages, ensuring robust and maintainable codebases.

• Collaborated with cross-functional teams to resolve onboarding issues, and deploy production updates, ensuring seamless Kubernetes and service registry integration.

• Monitored Dark Canary runs for production apps during on-call rotations, triaged inconsistencies, and reported findings ensuring operational reliability.

• Enhanced Walmart's customer care chatbot and its associated ASP.NET microservices, improving resolution rates and reducing escalations through advanced dialogue flows and AI integration.

• Developed F# modules to add new dialogues and responses for the chatbot, streamlining interactions for product returns and inquiries.

• Utilized pattern-matching, and discriminated unions with F# to model business logic for the bot’s dialogues.

• Integrated generative AI technologies with escalation support, enriching the chatbot's capabilities and enhancing user satisfaction.

• Created a custom F# tool to organize and manage CI/CD test outputs in Markdown format. This tool streamlined the process of deprecating outdated A/B tests, improving workflow efficiency and providing comprehensive logs for easy rollback.

• Extended existing JavaScript logic to allow isolated execution of integration tests, enhancing development and troubleshooting processes.

• Developed a React component to visually represent user feedback within the chatbot's dashboard, facilitating visual feedback through thumbs up or thumbs down icons and optional messages.

• Crafted custom Splunk queries to analyze chatbot logs, enabling business analysts to identify and examine escalations under specific conditions and improve chatbot interactions based on data-driven insights.

• Created an async Python-based job execution framework leveraging functional programming concepts to process declarative workflows defined by users.

• Designed and implemented an async Scala REST API using the Play framework for querying a large dataset. Deployed it as a container on MMC's Kubernetes cluster while documenting the deployment process for others.

• Investigated and identified a race condition in database updates causing async Python scripts to fail irregularly. Implemented a file existence semaphore to synchronize access to the critical code section, resolving the issue.

• Halved the runtime for Python scripts uploading large files using a chunked parallel upload scheme. Files were divided into smaller pieces, uploaded in parallel and re-assembled on the cloud.

• Implemented new pages, bean classes, and entities to enhance an enterprise Java ADF Fusion Web App, improving user interface and functionality. Set up the source code on GitHub using version control strategies for better collaboration and change tracking. Authored the entire GitHub Wiki section of the project with general descriptions of each system component and deep dives into important areas, aiding current and future developers in understanding and contributing to the project.

• Identified and addressed diverging codebases between development and production servers for our Python infrastructure. Used a custom Python program to compare scripts on both servers, identified differences, and refactored approximately 40 scripts. Consolidated environment-specific enhancements, eliminated unused code, and combined similar functions, removing over 1,000 lines of code and significantly improving maintainability.

• Built a suite of Python automations to support planning and reporting data workflows on Oracle cloud applications. Consolidated the useful, generic functions into a Python package for usage by other teams at MMC.

• Devised a novel solution for bi-directional synchronization user data between Oracle cloud apps and Active Directory using Python scripts, allowing the organization to seamlessly onboard or offboard users on cloud apps.

• Developed an internal Python tool to automate and streamline password updates for sysadmins, adding a dry-run mode for error checking, which made updates more reliable and reduced time spent fixing issues.

• Created a REST API using Flask with Python to provide a centralized credential store and query service, significantly enhancing the security of MMC's infrastructure and streamlining credential management.