Full Stack Developer

Naveen Raj

Full stack developer building with TypeScript, Next.js, Node.js, and FastAPI — currently exploring AI/ML and agent-native tooling.

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What I build

Backend Systems

Designing APIs, data models, and services in TypeScript/Node.js and Python/FastAPI — with async programming and REST/GraphQL as the everyday tools, not the whole story.

Healthcare Software

FHIR-based clinical platforms: HL7 FHIR R4, EHR/EMR data, and the terminology layer (SNOMED CT, LOINC, RxNorm, ICD-10) that makes interoperability actually work.

AI-Native Products

Systems where AI agents interact with structured tools and workflows — from AI-assisted clinical documentation to agent-driven UI generation, not just chat wrappers.

Developer Infrastructure

Identity, authorization, and the platform pieces underneath the product: OAuth 2.1, RBAC/ABAC, multi-tenancy, and the Docker/CI infrastructure that ships it.

Worked with

alphaesAIDrGodly

Selected work

Featured projects

FileNest

Active development

Solo builder — architecture & system design by me, AI-assisted ("vibe coded") implementation

Foundation (auth, uploads, file CRUD), the processing & events pipeline (virus scanning, MIME validation, NATS, webhooks, multipart), and the console app are complete; SDKs are in progress, with metadata/search, production hardening, and compliance features planned next.

PythonFastAPISQLAlchemyPostgreSQLRedisNATS JetStreamOpenSearchNext.jsReactBetterAuthTypeScriptDocker

0Updated 7/31/2026

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From the blog

Featured post

FHIR, in practice

9/11/2026 · 7 min read

HL7 FHIR looks simple in the docs — resources, references, a REST API. The parts that actually eat your time are terminology, modeling decisions, and the layer you're forced to build on top of it. Notes from building a clinical backend on FHIR R4.

FHIRHealthcarebackendHL7

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More projects

A2UI — AI-Assisted Clinical UI

Active development

A schema-driven clinical UI system generating around 55 forms, dashboards, and data tables from JSON Schema — with FHIR-aware components, clinical terminology fields, deterministic validation, and review workflows for AI-extracted clinical information.

Full Stack Developer — team project at alphaesAI

ReactTypeScriptJSON SchemaFHIR

Watcher24

Active development

All six services (gateway, analytics worker, realtime, notifier, console, IAM) run locally via Docker Compose with per-service dev commands, backed by JavaScript and Python SDKs and full test suites for each service.

Solo builder — architecture & system design by me, AI-assisted ("vibe coded") implementation

GoPythonNext.jsTypeScriptBetterAuthPostgreSQLClickHouseRedisWebSocketMinIO

0Updated 7/11/2026

FHIR Healthcare Platform

Active development

A FHIR-based healthcare backend with structured relational models and REST APIs for core clinical resources — Patient, Practitioner, Organization, Appointment, Encounter, Observation, Condition, DiagnosticReport, MedicationRequest, Procedure, Schedule, and Slot. FHIR references and relationships are modeled explicitly so clinical data stays structured and queryable.

Full Stack Developer — team project at alphaesAI

PythonFastAPISQLAlchemyPostgreSQLHL7 FHIR

More from the blog

Backend Mastery from First Principles in the AI Era (2026 Edition): The Complete Backend Engineering Roadmap

7/14/2026 · 8 min read

AI can generate code, but it can't replace a deep understanding of backend engineering fundamentals. This comprehensive guide walks through the complete backend development journey—from HTTP, routing, authentication, databases, caching, queues, and observability to distributed systems, DevOps, production architecture, and scaling. Whether you're a beginner or an experienced engineer, this roadmap will help you build backend systems from first principles and understand why every component exists, not just how to use it.

backendsoftwareengineeringwebdevdevops

A2UI: Teaching an AI to Draw Forms, Not Just Fill Them

7/4/2026 · 7 min read

How a JSON protocol and a schema-addressable component catalog let an AI agent pick clinical forms instead of generating them — and why that split matters in healthcare software.

aireacttypescriptSystem DesignHealthcare

What people say

Kalyan Kalwa

Co-Founder · DrGodly

“I've had the opportunity to work closely with Naveen on several AI and healthcare technology initiatives, and what stands out most is his ability to turn ambitious ideas into well-structured products. Naveen combines strong technical thinking with a deep understanding of healthcare workflows, enabling him to identify meaningful problems and design practical AI-powered solutions. Whether it's building AI-native healthcare platforms, modern telemedicine products, or developer tools, he approaches every challenge with curiosity, speed, and attention to detail. He's constantly learning, embraces emerging technologies, and has a talent for connecting business strategy with solid engineering execution. Beyond his technical abilities, Naveen is collaborative, thoughtful, and genuinely passionate about building products that can improve people's lives. I would highly recommend Naveen to any organization, startup, or team looking for a founder or engineering leader who combines vision with execution.”