Software engineer specializing in backend systems, healthcare interoperability, and AI-native products. Experienced building HL7 FHIR-based healthcare platforms and AI-assisted clinical interfaces, with a growing focus on distributed systems and agent-native architecture. Works across TypeScript/Next.js/Node.js and Python/FastAPI, and has independently designed and shipped several systems end-to-end — from architecture through implementation. Still early in his career, but optimizes for depth: understanding fundamentals and taking systems from idea to production.
Experience
May 2025 — Present · 1 yr 6 mos
Full Stack Developer · alphaesAI · Full-time
Hybrid
- Build healthcare applications across frontend, backend, APIs, authentication, and clinical workflows using Python, FastAPI, PostgreSQL, TypeScript, and Next.js.
- Design structured relational models and APIs for HL7 FHIR resources, including Patient, Practitioner, Organization, Appointment, Encounter, Observation, Condition, DiagnosticReport, MedicationRequest, Procedure, Schedule, and Slot.
- Develop a GraphQL/BFF layer for business logic, validation, resource aggregation, caching, and healthcare workflow orchestration.
- Build clinical workflows covering patient registration, practitioner management, scheduling, appointments, encounters, clinical documentation, and data extraction.
- Develop healthcare terminology infrastructure involving SNOMED CT, LOINC, RxNorm, and ICD-10.
- Build IAM and authorization using BetterAuth, OAuth 2.1, PKCE, JWT, JWKS, RBAC, and organization-level access control.
- Build clinical interfaces for AI-assisted documentation and clinical data extraction, allowing healthcare professionals to review and validate extracted information.
- Integrate healthcare services with external AI and voice-processing systems through controlled APIs and authorization boundaries.
- Deploy services using Docker, GHCR, Nginx, Linux, and VPS infrastructure.
Jan 2025 — Apr 2025 · 4 mos
Full Stack Developer · alphaesAI · Internship
Remote
- Developed full-stack features using TypeScript, Next.js, React, Node.js, Python, and FastAPI.
- Built REST APIs, database integrations, authentication flows, and reusable frontend components.
- Worked with Git, Docker, debugging, and application deployment before transitioning to a full-time role.
Skills
Healthcare
Backend
Frontend
Database
Identity & Authorization
Infrastructure
AI Integration
Education
Master of Computer Applications - MCA, Computer Science
SRMIST, Kattankulathur, Chennai ,Tamil Nadu
Bachelor of Science, Computer Science
Sri Sankara Arts and Science College