Open to graduate & junior roles

Vedant Basavaraj Kinikar

Computer Science graduate in Melbourne, now reading a Master of Data Science at RMIT. I build with React, Node.js and REST APIs — picked up across two software internships — and spend my own time on machine learning and computer vision systems that have to run on real data.

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01

About

I finished a B.Tech in Computer Science at VIT Vellore and moved to Melbourne to read a Master of Data Science at RMIT, alongside an MBA in Finance at NMIMS.

Two internships taught me the unglamorous half of the job: reading someone else's ERP module before changing it, handling the edge cases nobody wrote down, and asking the questions that stop a feature being built twice. The projects below are where I go deeper — reinforcement learning on traffic signals, YOLO on a production line, smart contracts wired to an ML model.

I'm looking for a graduate or junior software engineering role in Melbourne where I can keep shipping backend and data-heavy work.

At a glance

Based in Melbourne, VIC

Currently M. Data Science, RMIT University

Strongest in Python, JavaScript, React, Node.js, SQL

Also TensorFlow, OpenCV, AWS, Docker

Looking for Graduate / junior software engineering

Certified AWS Cloud Practitioner · Google Cloud Digital Leader

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Experience

  • Oct 2025 — Jan 2026

    Software / Project Intern

    SoulSoft Infotech Pvt. Ltd. · Sangamner, India

    • Worked on web and mobile development tasks in the company's stack — React, Node.js, REST APIs and database tooling.
    • Implemented a module-level internal-dashboard feature end to end: requirement analysis, edge-case handling and integration.
    • Helped with API and cloud-environment improvements, researching performance-oriented approaches along the way.

  • Jul 2025 — Oct 2025

    Software Engineer Intern

    AiravataOne Technologies · Palghar, India

    • Built ERP modules for manufacturing clients — module design, coding and debugging under senior-developer review.
    • Turned dense system requirements into maintainable code, and proposed implementation improvements from my own research.
    • Worked across functions to pin down requirements and keep delivery predictable.
03

Selected projects

In active development · milestone 1 of 10 · Solo

SEO / AEO / GEO Client Site Starter

A config-driven Next.js template for launching agency client sites that are optimised for search rankings, answer engines (featured snippets and AI Overviews) and citation by LLM assistants. One source tree builds every client — three demo businesses are generated from config alone.

  • Accessibility is guaranteed by construction: brand ramps are derived in OKLab and the text shades are solved for WCAG contrast per hue, because a fixed lightness passes AA on blue and fails on green.
  • Service-area pages cannot exist without unique local copy — the schema makes Google's doorway-page pattern unrepresentable, and a shingle-similarity sweep enforces it in CI.
  • Next.js 16
  • TypeScript
  • Zod 4
  • Tailwind v4
  • Vitest
  • Docker
  • GitHub Actions
View source

Self-initiated · 4 months · Developer

Smart Adaptive Traffic Flow Optimisation

A deep-reinforcement-learning agent that retimes urban traffic signals in a simulated SUMO environment, instead of running them on a fixed cycle.

  • Trained an agent-based RL model against the simulator to optimise signal timing.
  • Processed camera feeds with OpenCV and CNNs for lane-level signals — better flow, travel time and vehicle distribution in test runs.
  • Python
  • Reinforcement Learning
  • OpenCV
  • SUMO
  • CNNs
  • TensorBoard

Skill-development project · 3 months · Developer

Factory Vision

A computer-vision pipeline for a simulated production line: defect detection, product-quality classification and workflow-stage monitoring.

  • Built the pipeline around TensorFlow, OpenCV and YOLO for real-time inference.
  • Extended it to anomaly detection, worker-safety monitoring and production-line analytics.
  • Python
  • TensorFlow
  • YOLO
  • OpenCV

VIT · 5 months · Team of 2 · Lead blockchain & ML developer

BOLT 2.0 — Blockchain Loan Prediction & Route Optimisation

A decentralised platform pairing blockchain document verification with ML-powered loan prediction, plus a logistics routing module.

  • Co-designed the platform and led the Ethereum smart-contract work for document verification.
  • Implemented route optimisation over geospatial data with Dijkstra's algorithm, supporting transparent financial and supply-chain workflows.
  • Ethereum Smart Contracts
  • Machine Learning
  • Python
  • Dijkstra's Algorithm
  • Geospatial Data
04

Skills

Programming

  • Python
  • Java
  • JavaScript
  • SQL

Software development

  • React
  • Node.js
  • Django
  • REST APIs
  • Git
  • GitHub
  • Docker
  • Linux

Databases & cloud

  • MySQL
  • PostgreSQL
  • AWS
  • Google Cloud

Data & AI

  • TensorFlow
  • Scikit-learn
  • OpenCV
  • YOLO
  • Machine Learning
  • Computer Vision
05

Education

  • Jul 2026 — Dec 2028

    Master of Data Science

    RMIT University · Melbourne, VIC

  • 2026 — 2028

    Master of Business Administration (Finance)

    SVKM's Narsee Monjee Institute of Management Studies (NMIMS) · Mumbai, India · Online

  • Sep 2021 — Jul 2025

    B.Tech, Computer Science (Core)

    Vellore Institute of Technology · Vellore, Tamil Nadu, India

    • CGPA 8.28 / 10
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Certifications & leadership

Certifications

  • AWS Certified Cloud Practitioner — AWS, Feb 2024
  • Google Cloud Certified – Cloud Digital Leader — Google, Jan 2024
  • CompTIA Security+ (SY0-701) complete course & practice exam — Udemy, Oct 2025

Leadership

  • Technical mentor (informal peer support), VIT Vellore — 2024–2025
  • Team coordinator, academic project collaboration group — 2023–2024
07

Contact

Let's talk

I'm after a graduate or junior software engineering role in Melbourne — backend, full-stack or data. Email is the fastest way to reach me.

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