What kind of AI projects has he built?

A local-first real-time voice assistant (J.A.R.V.I.S — NIX) using the Gemini Live API with desktop, browser and vision tool-use; a telecom customer churn prediction pipeline; a movie recommendation system that evolved into LumoroX; and a parking space management system that evolved into the live product LumoroX Park.

Is Nithin K available for hire or freelance work?

Yes. He is open to full-time roles and collaborations in AI/ML engineering, data science, Android and full-stack development. Email nithingowda490@gmail.com or call +91 8217264796.

How can I see his resume?

The full resume is available as a PDF at /Nithin_K_Resume.pdf and can be viewed or downloaded from any Resume button on this site.

Where is Nithin K located and does he work remotely?

He is based in Bengaluru, Karnataka, India, and works with teams remotely as well as on-site in Bengaluru.

Building it,
then shipping it.

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AI Engineer
Android Developer
Full-Stack Builder

About Me

Engineering intelligent systems for
people who ship, scale, and learn.

My Approach

Every build starts with the data and the user, not the framework. I prototype fast, measure honestly, and ship AI features that hold up in production.

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Intelligence x Craft

How I work

From ML pipelines for churn prediction to LLM agents and Android apps, I work where applied research meets product craft — turning models and datasets into interfaces people actually use.

What drives me

Curiosity plus conviction. Every project — Sophia, J.A.R.V.I.S — NIX, LumoroX — started as a question and grew into a shipped system with real users, measurable results, and open-source code.

15+

Projects Built

Certifications

Industry Internships

16 mo

IIT Indore AI Track

§ Capabilities

What I do.

06 services

/01

AI & LLM Engineering

Prompt orchestration, RAG pipelines, tool-using agents, and applied LLM workflows.

/02

Android Development

Modern Android apps with Kotlin, Jetpack Compose, and Firebase — AI features baked in.

/03

Generative AI Products

Turning LLMs into features users love — from chat to content to autonomous flows.

/04

Full-Stack Web

React + Node + Supabase apps with clean UX and production-ready architecture.

/05

Applied ML

Classification, regression, and recommender systems trained on real datasets.

/06

Data & Automation

ETL, feature engineering, and intelligent automation glue for internal tools.

Now — currently building

Agentic Systems

Tool-using assistants with memory, planning, and structured outputs.

RAG Pipelines

Hybrid retrieval, chunking strategies, and grounded generation.

On-device Inference

Quantized models + edge deployment for private, low-latency ML.

Selected
Projects

A curated selection of recent work showcasing AI engineering, applied machine learning, Android and full-stack product development.

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Table Tales

Small restaurants juggle paper menus, phone orders and walk-in table bookings with no single place to manage them.

JavaScriptFirebaseAndroid

Real-timeOpen live site

Code Live

LumoroX Park

City parking is scarce while thousands of private driveways sit empty all day; the original system proved slot allocation but needed a real marketplace around it.

TypeScriptReactSupabase

LiveOpen live site

Code Live