Asmita Hase is an applied AI engineer and full-stack software developer with six years of experience building scalable cloud-native systems and developer-facing APIs. She shipped high-impact reliability and automation improvements at AWS Elastic Load Balancer—cutting incident resolution from 15 minutes to 1 minute and reducing p99 control-plane latency by over 90%—and now applies AI at DevRev. Her background spans Java/Spring Boot microservices, React/Vue frontends, Docker and CI/CD, and telemetry-driven recovery workflows across multi-region architectures. She also contributes to open-source HR/payroll software (Frappe HRMS), handling both frontend and backend fixes and simplifying deployment with Docker Compose. Early projects include real-time education tooling that boosted formative quiz scores by 40% and search optimization using BERT, showing a blend of production engineering with applied ML. Based in Austin, she combines academic rigor from Virginia Tech with a proven record of turning complex reliability and automation challenges into operational wins.
6 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Virginia Tech
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Vishwakarma Institute of Information Technology
Contributions:4 reviews, 116 PRs, 110 pushes in 5 months
Contributions summary:Asmita primarily contributed to the frontend and backend aspects of the Frappe HRMS software. They fixed bugs related to the employee leave balance report and attendance calendar, implementing UI and logic changes. The user also addressed issues in the payroll module. Furthermore, the user worked on setting up and configuring the Docker compose file for easy setup.
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