Developing ETL pipelines for cost and usage optimization analysis

Debugging and resolving various Prod issues

Developing ML infrastructure and pipelines for Cloud usage analysis

Built an antibody microbial susceptibility analysis service utilizing computer vision & AI/ML models for business opportunities with hospitals and labs in Asia & Europe.

Built a webapp with React, powered by a Flask API, with a NoSQL database and S3, with an IaC setup using Terraform and K8s.

Developed and secured an API utilizing a tier system for future usage and subscription billing.

Created customizable data inputs & ETL pipelines for data processing for multiple labs.

Coordinated the QA team efforts surrounding releases and post-deployment testing.

Built a set of event-driven testing APIs for test orchestration and data seeding in both developer and production environments.

Debugged production issues to identify root causes and provide code-fix suggestions throughout the technology stack.

Developed and carried out comprehensive test plans for end-to-end financial processes, including NACHA ACH ins, outs, & returns, as well as Check processing.

Led the development of automated QA test frameworks for production services by testing reliability/performance for SLAs (99% uptime and availability), handling >100k concurrent requests & retrieving >3M rows of data, and performed Use Case & E2E Integration testing.

Deployed and managed cloud infrastructure for distributed applications of 200+ microservices on AWS Cloud with Kubernetes, Docker, Terraform, Maven, and Spring, leveraging bash scripts to automate processes as part of CI/CD with Jenkins