Software Engineer building backend and AI-native systems.

Naveen Raj

I design and build software across backend engineering, healthcare interoperability, and AI-native products.

What I build

Backend & Systems

I build APIs, services, data models, and the infrastructure behind production applications. I'm particularly interested in concurrency, databases, distributed systems, observability, and the trade-offs that appear when software has to operate reliably at scale.

Healthcare Software

I work with healthcare systems where correctness and interoperability matter. My work involves HL7 FHIR, clinical data models, terminology systems, scheduling, and the messy boundary between real-world healthcare workflows and software.

AI-Native Products

I'm interested in software where AI is part of the system itself — not just a chatbot bolted onto an existing product. I explore agents, structured tools, schema-driven interfaces, deterministic workflows, and the boundaries between probabilistic AI and reliable software.

Developer Infrastructure

I enjoy building the systems underneath products: authentication, authorization, multi-tenancy, event pipelines, storage, APIs, developer tooling, and the infrastructure that makes everything else possible.

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 Jul 31, 2026

View case study

From the blog

Featured post

FHIR, in practice

Sep 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

Read post

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 Jul 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

Real-Time Systems Engineering: WebSockets from Beginner to Senior-Level Architecture

Sep 24, 2026 · 20 min read

A project-based roadmap to mastering WebSockets and real-time systems—from simple live counters and chat applications to distributed WebSocket clusters, event-driven architectures, scalable notifications, and multi-tenant healthcare systems. Learn how real-time systems actually work, how they scale, how they recover from failures, and how to reason about them like a senior engineer.

wswebsocketbackendfrontendfullstack

Complete Computer Science Education

Sep 20, 2026 · 18 min read

A complete, self-directed undergraduate Computer Science curriculum synthesized from MIT, Stanford, and CMU. Master the core pillars of computer science—from memory layout and OS kernels to distributed consensus and database internals—using the world’s gold-standard university courses.

MITStanfordCMU

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.”