Clinical intelligence for quality of care and ROI in mental healthcare. Transforming patient outcomes through AI.

MinIO is a high-performance, S3 compatible object store. It is built for large scale AI/ML, data lake and database workloads.

• Build, design, ship and maintain features for the enterprise solution including; AIStor Console, AIStor Observability and Operator.

• Contribute to the open source solution for MinIO Console.

• Help coordinate team tasks, track issues, arrange regular team check-ins, and improve workflows to ensure smooth feature releases.

• Led, Built and improved core backend code for Circles feature, including RSVP, attendance tracking, and email delivery, ensuring scalability and reliability.

• Enhanced system observability and resilience by integrating Datadog tracing, setting up alerts, and optimizing performance.

• Developed the Circles Task Scheduler, a scalable email scheduling service, eliminating legacy code and ensuring timely email delivery.

• Led backend upgrades and best practices adoption, improving service architecture, fixing vulnerabilities, and mentoring new team members.

• Collaborated across teams, contributing to Retool, improving data integrity with Product Analytics, and supporting internationalization efforts.

• Worked on the 1:1 care product, making sure users got the right type of care by improving and maintaining our triage flow.

• Contributed to open source projects related to Object Storage products, Cloud Services and UI development.

• Worked on projects such as MinIO Console, MinIO, MinIO plugin for VMware Vcenter platform, and Seagate + MinIO High-Performance Object Storage solution.

• Implemented and designed machine learning algorithms for Natural Language Processing (NLP) problems.

• Worked on features for the Virtual Assistant including; Spell checker, Intent Matching, Intent builder and Intent Testing Platform.