Open to software engineering roles & backend systems work

Navnath Kadam

Backend-focused Software Engineer building distributed systems, developer tools, and AI-integrated applications.

I specialize in backend architecture, real-time networking, and systems-level tooling. Creator of open-source CLI utilities in Go and distributed RPC engines on npm. Experienced in designing resilient services with Go, Node.js, PostgreSQL, and Redis.

Navnath Kadam
Mumbai, India · UTC+5:30
Selected Works

Engineering Projects & Systems

Technical case studies of distributed tools, backend services, and systems-level utilities.

01 / 07LOCAL-FIRST WORKSPACE GENERATOR

Trak CLI

Code

High-performance, local-first developer learning workspace generator in Go that materializes multi-module coding labs directly onto the local filesystem from a GitOps blueprint registry.

The ProblemDevelopers learning distributed architectures are trapped in isolated browser sandboxes or forced to copy-paste fragmented code snippets without real project manifests (go.mod, Cargo.toml, Dockerfiles).
What Was BuiltEngineered a deterministic 6-phase CLI pipeline without background daemons, streaming remote JSON blueprints over HTTPS, recursively materializing AST file trees, and stamping immutable trak.json provenance manifests.
Key Engineering Decisions
  • ›AST directory generator recursively creating nested directories (0755) and source files (0644) via native Go OS syscalls.
  • ›Decoupled GitOps blueprint streaming from trak-registry with animated ANSI terminal spinners.
  • ›Deterministic provenance tracking recording author, version tag, source path, and UTC timestamps.
GoCobraGitOpsCLIAST MaterializerUnix Filesystem
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Technical Stack

Systems & Technologies

Grouped breakdown of languages, backend runtimes, distributed tools, and data stores with corresponding tools.

Languages

Core systems and application programming languages used in daily development.

GoTypeScriptPythonRustJavaScriptC / C++Java

Backend & Distributed Systems

Frameworks, protocols, and runtimes for building resilient server-side services.

Node.jsExpress.jsFastAPIAxumKafkaCustom RPCRedisWebSockets

Databases & Storage

Persistent databases, caching layers, and client-side offline storage.

PostgreSQLRedisMongoDBTimescaleDBIndexedDBMySQL

DevOps, Cloud & Tooling

Deployment targets, operating environments, and automated CI/CD pipelines.

Linux CLIDockerJenkinsGitGitHub ActionsAWSAzureVercelRender

AI & Machine Learning

Model integration, multimodal processing, and computer vision pipelines.

Gemini APIPyTorchOpenCVTensorFlowscikit-learnMediaPipe

Client & Web Interfaces

Modern web tools for building developer dashboards and product interfaces.

ReactNext.jsTailwind CSSHTML5 / Canvas
Primary Focus: Go & Node.js for backend systems · Next.js for product frontends
Career History

Work Experience

Chronological engineering roles, responsibilities, and delivered systems.

Internship May 2026 – July 2026 · 3 mos

AI Automation Intern

Autonova AI·India · Remote

Engineered backend automation pipelines, integrated AI-driven task orchestration, and supported asynchronous microservice workflows.

Key Engineering Contributions
  • ›Built resilient backend integration hooks connecting external LLM endpoints with internal execution pipelines.
  • ›Developed automated data transformation routines to handle unstructured prompt inputs and normalize responses for client consumption.
  • ›Collaborated remotely with engineering leads across asynchronous code reviews, API contract designs, and system reliability testing.
  • ›Streamlined automated service workflows, reducing manual pipeline triggers across multi-step execution chains.
AI AutomationBackend IntegrationAsynchronous SystemsREST APIsRemote Collaboration
Independent Systems & Tooling Development (2024 – Present)Continuously publishing developer CLI tools in Go, distributed RPC engines on npm, and system design simulators.
github.com/ndk123-web →
Background & Focus

About & Engineering Philosophy

I am a software engineer focused on the backend and systems side of software. I prefer writing clear, explicit code with predictable failure modes rather than relying on heavy abstractions.

My work centers on building systems that solve practical engineering challenges: from authoring trak and who-is-running in Go, to publishing ndk-rpc-cluster on npm for automated microservice replica failover, to creating FlowFrame to simulate distributed systems interactions.

When integrating AI models, I treat them as backend components that require strict validation schemas, asynchronous message queuing, token budget monitoring, and deterministic fallbacks.

Backend Architecture

Designing scalable REST & RPC services, structured data schemas, and resilient database access layers with Go, Node.js, and PostgreSQL.

Distributed Systems

Exploring consensus, message queues (Kafka), heartbeat health-checks, load balancers, and fault tolerance across microservices.

Developer Tooling

Building lightweight OS-level CLI utilities in Go and reusable open-source packages that eliminate developer friction.

Practical AI Integration

Architecting asynchronous processing pipelines, schema-validated prompt execution, and multimodal ingestion flows.

Looking for full resume credentials?

Complete breakdown of technical coursework, internship milestones, and production repositories.

Download Resume (PDF)
Communication

Get in Touch

Direct channels to reach me for engineering roles, technical collaboration, or architecture inquiries.

Direct Emailnavnathkadam284@gmail.com
Inbox monitored regularly · Typical response within 24h
Write Email
GitHub
@ndk123-web

Source code for CLI tools, RPC engines & simulators

LinkedIn
Navnath Kadam

Professional updates, career history & connections

Peerlist
ndk18

Verified developer profile & project showcases

npm Registry
~ndk18

Published Node.js packages (ndk-rpc-cluster, dev-preview)

X (Twitter)
@Navnath12652374

Technical observations & development notes

Product Hunt
@navnath_kadam

Launched tools & community feedback