Open to AI / ML / Full-Stack roles — Melbourne & remote

Vinit Kumar

AI Engineer & Full-Stack Developer

I build production AI systems — from model training to deployed full-stack products.

Melbourne, Australia 485 Visa — Full work rights (3 years)

Applied LLM & RAG

Retrieval-augmented systems and agents grounded in real data — multi-source ingestion, vector search, and cost-aware LLM orchestration.

ML & Model Training

Hands-on model work, not just API calls — parameter-efficient fine-tuning (LoRA/PEFT), computer vision, and measurable results.

Production Full-Stack

Shipped software for real users and clients — rules engines, dashboards, and end-to-end apps with testing and deployment.

Featured work

Projects, written up like an engineer

Four projects — one per focus area — each a short case study covering the problem, the architecture, and the decisions behind it.

Applied LLM & RAGLive

Vehicle DIY Guide

An agentic RAG system that builds vehicle-specific repair guides from manuals, forums and video — with a live AI mechanic you can ask follow-ups.

5
source types fused per guide
$0
cost on cached repeats
2
cost-tiered Claude models
FastAPINext.jsClaudepgvectorRedisPython
Applied LLM & RAG

Aria Voice AI

An AI phone receptionist that answers real calls, holds a natural real-time voice conversation, and responds from a knowledge base via RAG.

4
live voice APIs orchestrated
3-stage
STT → LLM → TTS, streamed
RAG
grounded in a knowledge base
FastAPITwilioDeepgramElevenLabsClaudeSupabase
Production Full-StackLive

Exempt Development Tool

A government capstone: a rules engine that assesses building proposals against NSW planning law and returns a clear, clause-referenced decision.

25,305
property records searched
Albury
real government client
5
engineer team
ReactNode.jsExpressGoogle Maps APIJestTailwindCSS
ML & Model Training

LoRA Doctor

Fine-tuned a language model on medical Q&A using LoRA — training 0.23% of the parameters of a full fine-tune.

0.23%
of params trained (LoRA)
294K
adapter params vs 125M
r=8
LoRA rank on q/v projections
PyTorchPEFTHuggingFaceLoRATransformers

More work

RAG PDF Chat

Chat with any PDF — fully local, no API keys, answers grounded strictly in the document.

FAISSsentence-transformersOllamaStreamlit
View code

AI News Digest

Automated daily news briefing summarised by a local LLM and emailed every morning.

OllamaNewsAPIcronSMTP
View code

GitHub Buddy

A developer tool to configure Git, auto-generate READMEs and manage repositories.

Next.jsTypeScriptPrismaDocker
View code

Toolbox

Skills

Languages

PythonTypeScriptJavaScriptSQLJava

AI / ML

RAGLoRA / PEFT fine-tuningLangChainHuggingFacePyTorchTensorFlowOpenCVClaude APIAmazon Bedrock

Web & Backend

Next.jsReactFastAPINode.jsExpressTailwind CSS

Data & Cloud

PostgreSQLpgvectorSupabaseDockerAWS (S3, Lambda, CloudFront)Prisma

Track record

Experience

IT Support & Operations Lead · Aaditya Rentals

2023 — Present

Melbourne

  • Lead a team of 4, overseeing daily operations and front-line delivery.
  • Run QA and structured defect reporting for the company website and internal systems.
  • Built internal automation integrating the Xero and Zoho Mail APIs for invoicing and debtor workflows.

AI / Full-Stack Developer — Industry Capstone · Albury City Council

2025

Team of 5

  • Built the rules engine assessing building proposals against NSW SEPP planning legislation.
  • Developed the React frontend + Google Maps integration over a 25,305-record property database.
  • Led testing with a Jest unit + integration suite against client acceptance criteria.

Education

Master of Information Technology — Artificial Intelligence

La Trobe University, Melbourne · 2024 — 2026 · GPA 6.0 / 7.0

Bachelor of Computer Science — Data Science

Lovely Professional University, India · 2019 — 2023

Certifications

  • Supervised Machine Learning: Regression & Classification — DeepLearning.AI & Stanford (Coursera)
  • Google Data Analytics Professional Certificate — Google (Coursera)