Umedmi

Built a comprehensive patient management system from the ground up — defined the data model, designed the API layer, and set up the cloud infrastructure for a healthcare platform handling sensitive medical data

Designed and implemented an ICD-10 medical code parsing engine that transformed complex diagnostic codes into searchable, interactive cards. Reduced clinical data lookup time for healthcare providers meaningfully

Designed and managed the full AWS production infrastructure (EC2, S3, IAM, RDS) — security groups, automated backups, CloudWatch monitoring, HIPAA-aligned deployment practices

Co-architected a real-time secure chat system using WebSockets with end-to-end message handling and data privacy safeguards

Built a multi-provider payment integration with automated reconciliation — secure transactions across providers with audit trails for every transaction

Healthcare platforms in this space either lacked proper data standards (ICD-10 compliance) or were too expensive for small clinics to adopt

Medical code lookup was manual and slow — clinicians were searching through PDFs and reference sheets to find the right diagnostic code

No real-time communication between clinic staff and patients within the platform — everything was phone-based

AWS infrastructure was initially unmanaged with no backups, monitoring, or access controls — a liability for a platform holding medical records

Designed a normalized relational schema that could represent patient records, appointments, medical codes, and billing in a way that was both queryable and auditable

Built an ICD-10 parser that ingested the full code set, indexed it for search, and rendered each code as a card with description, category, and related codes — full-text search across 70k+ codes

Set up a proper AWS production environment: VPC with private subnets, EC2 in an ASG, RDS with automated snapshots, CloudWatch alarms, and IAM roles with least-privilege access

Implemented WebSocket-based chat with message persistence, read receipts, and encryption at rest — built so clinic staff could message patients directly from the platform

Integrated multiple payment gateways with a reconciliation layer that ran nightly and flagged any mismatches for manual review