NK

Naresh Kothavandla · Technical product builder

I build software products and the systems that run them.

I work across product structure, application implementation, infrastructure and deployment—turning ideas into working systems and making the pieces fit together.

Web productsLinux & DockerPostgreSQL-backed systemsGitHub CI/CDCloudflare & self-hosting

Selected work

Products first. Evidence over buzzwords.

These are projects I have taken from an idea into substantial working systems. Detailed evidence and live demonstrations are being added deliberately rather than exposing private repositories.

01

Product building

DramasPicks

Drama discovery and community platform spanning catalogue search, profiles, publishing, reviews, data workflows and deployment.

ReactTypeScriptNode.jsPostgreSQLTestingCI/CD

Flagship case study in preparation

02

Product + domain systems

AndhraFresh

Farm-to-consumer commerce platform focused on real supply, freshness, pricing, quoting, order flows and operational administration.

TypeScriptAPIsPostgreSQLDomain modellingMonorepo

Case study in preparation

03

Private AI systems

ROS

Private personal-AI platform connecting persistent services, local GPU inference, controlled capabilities and operational recovery.

PythonPostgreSQLLocal AILinuxAuthenticated transport

Sanitized systems case study in preparation

04

Platform + operations

Rikaha Labs Infrastructure

Self-hosted development and operations environment spanning Linux, virtualization, networking, containers, CI and observability.

LinuxDockerProxmoxOPNsenseGitHub ActionsPrometheus

Sanitized infrastructure case study in preparation

View the full work index →

What I do

Useful across the application / infrastructure boundary.

Build products

Turn an idea into a structured web product with user-facing flows, application boundaries and data-backed features.

Make systems run

Connect application code to Linux, Docker, reverse proxies, domains, PostgreSQL and repeatable deployment workflows.

Automate delivery

Use GitHub, CI/CD, health checks and release discipline to make changes easier to verify, ship and recover.

Work across boundaries

Trace problems across application, database, network and infrastructure layers instead of treating each layer in isolation.

How I work

Modern tools, explicit verification.

AI coding assistants such as ChatGPT and Codex are part of my implementation, research and debugging workflow. I combine them with Git-based change control, testing, documentation and hands-on system verification.

My strongest work happens where product decisions, application architecture and operations meet: understanding what needs to exist, how the parts connect, what can fail, and how to prove the resulting system works.

Current focus

Building public proof and taking on well-scoped technical work.

I am currently packaging selected Rikaha Labs projects into public case studies and preparing focused freelance services around web-product implementation, Linux/Docker deployment and CI/CD.

Contact / availability