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Arshita Dewan
Full-Stack Developer · AI Builder · Adelaide, AU
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Arshita Dewan.

Full-stack developer and AI engineer who believes the best software is equal parts intelligent and beautiful. From neural pipelines to pixel-perfect UIs - I build things that actually work.

12+Projects Built
20%Perf. Improved
5Experiences
5Awards Won
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Full-Stack Developer AI Builder React · Vue · Node.js CS @ University of Adelaide Women in STEM Advocate Open Source Contributor Coding Tutor Python · C++ · JavaScript Full-Stack Developer AI Builder React · Vue · Node.js CS @ University of Adelaide Women in STEM Advocate Open Source Contributor Coding Tutor Python · C++ · JavaScript
01 — About

I build things that live on the internet

I'm a Computer Science student at the University of Adelaide, deeply in love with the craft of engineering. I don't just write code — I build products. From startup internships to AI tools, everything I make is driven by one question: does this actually help someone?

My stack spans the whole product: React / Vue on the front, Node.js on the back, C++ when performance is everything, and Python when intelligence is the feature. I've shipped production tools, improved systems by measurable amounts, and worked in real Agile teams.

Beyond code, I was Secretary of WiSTEMs at UoA, have tutored dozens of students in programming, and I'm actively levelling up in system design, TypeScript, and cloud infrastructure.

12+Projects Built
4Work Roles
20%Speed Gain @ Intern
5Awards Won
arshita.js
JS
PY
C++
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Core Languages
PythonC++JavaScriptTypeScriptSQLHTML/CSSRMatlab
Frameworks & Libraries
React.jsVue.jsNode.jsSvelteFastAPITailwindExpress
Tools & Infrastructure
GitMongoDBMySQLDockerAWSPostman
AI / ML Stack
PySparkDatabricksOpenCVLLMsRAGScikit-learnEmbeddings
Currently Learning ↑
TypeScriptSystem DesignDocker/AWSCI/CD Pipelines
02 — Experience

Where I've worked

Mar 2026 - Present
Labelbox
AI Programmer
  • Selected as an AI Programmer with Labelbox (LBLX116 project), contributing to the training and evaluation of machine learning models.
  • Working on tasks involving data annotation, model assessment, and improving AI system outputs through structured feedback.
  • Focused on enhancing model accuracy, consistency, and real-world performance across AI workflows.
Contract · Remote
Feb 2026 — Present
Partsmen
Contract Software Engineer
  • Developing a cross-platform Freight Calculator mobile application (iOS/Android) with real-time shipping estimation and inventory integration.
  • Designing RESTful APIs using Node.js and MySQL; implementing OCR and barcode scanning pipelines.
  • Containerizing services with Docker and establishing CI/CD workflows for deployment.
Contract · On-site
Aug 2025 – Jan 2026
Stealth AI Startup
Software Engineer (AI Programmer - ML Training and Evaluation)
  • Built scalable backend services for an AI-powered platform using Node.js, Python, Svelte and PostgreSQL.
  • Designed REST APIs and microservices for real-time data processing pipelines.
  • Collaborated directly with founders to prototype core product features prior to public launch.
Australia
Nov 2024 — Feb 2025
Bohniman Systems Ltd
Software Engineering Intern
  • Built internal web tools with React.js, Node.js & MySQL to automate key workflows.
  • Improved data retrieval and response time by 20%, saving ~8 hours/week.
  • Implemented JWT authentication and role-based access control.
  • Participated in sprint planning, code reviews, and modular Git workflows.
Startup · Full-time
Sept 2024
Commonwealth Bank
Software Engineer Virtual Intern - Forage
  • Simulation on web development and cybersecurity practices.
  • Built responsive web pages with HTML/CSS aligned to brand guidelines.
  • Applied secure hosting with .NET, MongoDB, and Postman.
  • Enhanced frontend with React + Redux integration.
Virtual Program
June 2024
JP Morgan Chase
Software Engineering Virtual Intern - Forage
  • Simulation on backend architecture and Agile methodology.
  • Created user stories on Trello and estimated implementation effort.
  • Facilitated Scrum ceremonies to improve team workflow.
Virtual Program
Aug 2023 — Dec 2024
Superprof
Online Coding Tutor
  • Delivered personalized lessons in Python, JavaScript, and Java.
  • Helped learners build structured problem-solving skills through custom exercises.
Teaching
03 — Leadership & Involvement

Leading initiatives

2026
ThincLab, University of Adelaide
ThincHer Program Participant
  • Selected as 1 of 20 participants in a competitive, university-wide entrepreneurial leadership program for women.
  • Engaged in experiential workshops focused on entrepreneurship, leadership, and personal development.
  • Built practical skills in startup thinking, problem-solving, and decision-making through real-world exercises.
  • Participated in masterclasses and industry-led sessions on innovation, business strategy, and leadership.
  • Developed professional networks by connecting with founders, mentors, and industry professionals.
  • Collaborated with a diverse cohort across disciplines, strengthening teamwork and communication skills.
  • Received mentorship and guidance to support personal growth, career development, and entrepreneurial goals.
Entrepreneurship
Nov 2023 — Aug 2024
WiSTEMs, UoA
Secretary - Women in STEM Society
  • Organized events and initiatives supporting women in STEM.
  • Managed communications, meeting minutes, and event logistics.
Leadership
2023
High School Moms & University of Dublin
STEM Intern - International Program
  • Selected for an international STEM outreach program in collaboration with the University of Dublin.
  • Mentored and supported school-level participants in STEM learning and engagement activities.
  • Contributed to initiatives promoting STEM education and accessibility for younger students.
  • Collaborated with a global cohort, strengthening cross-cultural communication and teamwork skills.
Outreach
04 — Projects

Things I've built

01 — Featured
Mapster - Adelaide Social Discovery Map
Redefines how Adelaide discovers events. Aggregates live data from 6 major sources — Eventbrite, Experience Adelaide, SA Tourism, Ticketmaster, Google Events & Adelaide Festival Centre. Heat map & pin modes, geocoding, and smart search.
ReactNode.jsEvent APIsGeocodingHeat Maps
02
FolioLab
A platform for developers to showcase their work beautifully. Built for developer experience and strong visual identity.
Full-StackPlatform
03
Crufindr - AI Cofounder Matcher
Full-stack platform matching startup cofounders via AI-based ranking from skills, goals, and profiles. Powered by OpenAI.
Vue.jsNode.jsMySQLOpenAI APITailwindCSS
04
CodeVault
A curated vault for code snippets, templates, and developer resources. Built for devs who want to move faster and smarter.
Developer ToolSnippets
05
MyFi - Finance Dashboard
Finance management: budgeting, asset tracking, price alerts. Admin access control and real-time financial data.
Node.jsMySQLAJAX
06
HealthSim - Patient Digital Twin
Simulates lifestyle effects on health metrics using C++ classes for organs, conditions, and treatments. Modular design for predictive analytics and chronic disease forecasting.
C++OOPSimulationPredictive Analytics
07
WhisprAI
Voice-based AI assistant combining GPT-3.5 and real-time speech recognition for natural conversations.
PythonSpeechRecognitionOpenAI API
08
Stock Correlation Network
Analyzes and visualizes stock relationships using Pearson correlation and Graphviz DOT graph rendering.
C++Graph TheoryGraphviz
09
Fruit Ninja (C++ & SFML)
2D slicing game with object spawning, collision detection, and score tracking — built from scratch, no engine.
C++SFMLGame Dev
10
Receipt Parser
OCR-based tool to scan receipts and extract item names and prices using logic-based parsing.
C++OCRLogic Parsing
05 — Kind Words

What people say.

06 — AI / ML Research & Projects

Building with intelligence

Insight Factory · Industry Project
Predictive Maintenance for Rail Infrastructure
Designed and trained machine learning models on Databricks to predict rail break incidents from large-scale railway monitoring datasets, enabling data-driven maintenance planning and safety improvements.
  • Designed and trained ML models on Databricks to predict rail break incidents from large-scale monitoring datasets
  • Leveraged PySpark for distributed data processing, feature engineering, and model experimentation at scale
  • Developed predictive insights supporting data-driven maintenance planning and railway safety improvements
PySpark Databricks Machine Learning Feature Engineering Predictive Analytics
AIML Summer Grand Discovery Challenge
Lettuce Growth Prediction
Built and evaluated machine learning regression models to predict lettuce dry-shoot weight from plant growth datasets, applying end-to-end ML workflows from preprocessing through model evaluation.
  • Built and evaluated regression models to predict lettuce dry-shoot weight from plant growth datasets
  • Applied data preprocessing, feature engineering, and model evaluation to improve predictive performance
  • Analysed relationships between environmental and plant variables to surface data-driven agricultural insights
Python Scikit-learn Regression Models Data Preprocessing Model Evaluation
Computer Vision · Deep Learning
Smart Traffic Violation Detection
Computer vision system using OpenCV and deep learning to detect traffic violations from video streams in real time, including vehicle tracking and illegal behaviour classification.
  • Built a CV system using OpenCV and deep learning to detect traffic violations from live video streams
  • Implemented object detection models to identify vehicles, track movement, and flag red-light violations
  • Processed video frames and extracted features for real-time detection and event classification
  • Designed a scalable pipeline for automated monitoring and reporting of traffic violations
Python OpenCV Deep Learning Object Detection Computer Vision
LLMs · Retrieval-Augmented Generation
AI Knowledge Assistant with RAG
AI assistant capable of answering domain-specific questions using LLMs and retrieval-based search — built with a full RAG pipeline integrating document embeddings and semantic search for context-aware responses.
  • Developed an AI assistant using LLMs and retrieval-based search for domain-specific question answering
  • Built a RAG pipeline integrating document embeddings and semantic search for context-aware responses
  • Implemented vector search and prompt engineering to improve accuracy and reduce hallucinations
  • Designed scalable architecture combining LLM inference, embeddings, and document indexing
Python LLMs RAG Vector Search Prompt Engineering Embeddings
07 — Recognition

Awards & achievements

01 — Scholarship
Global Academic Excellence Scholarship
Awarded for outstanding academic achievement at the University of Adelaide, recognising excellence in academic performance across the Computer Science program.
University of Adelaide
02 — Hackathon
Hackathon Winner - Mapster
Won a competitive hackathon for developing Mapster, an innovative location-based event discovery platform for Adelaide - built collaboratively under time pressure and awarded first place.
1st Place
03 — National
NGSE Scholar - National Genius Search Examination
Awarded the NGSE Scholar distinction for outstanding performance in a national-level STEM aptitude examination, placing among the country's top academic performers.
National Distinction
04 — Competition
Science Olympiad Final Round Qualifier
Advanced to the final round of the Science Olympiad, demonstrating strong analytical and problem-solving abilities across science and mathematics disciplines in a competitive national-level setting.
Final Round
05 — Academic
STEM Academic Excellence Award - High School
Recognised for outstanding academic performance and achievements across science, technology, engineering, and mathematics, setting the foundation for a career in technology and AI engineering.
Academic Excellence
08 — Certifications

Professional credentials

AWS via Forage
Solutions Architecture Job Simulation
Issued Jan 2026
ID: Q4kxYB7veyCxF6wDz
Solution Architecture
Goldman Sachs via Forage
Internal Audit Job Simulation
Issued Jan 2026 · Expires Jan 2026
ID: 2v9ggzYSBN3rbmrKG
Internal Audits, Legal Compliance, +3 skills
Commonwealth Bank via Forage
Software Engineering Job Simulation
Issued Sep 2024
ID: vNweowzE9CP629FeF
Software Engineering
Commonwealth Bank via Forage
Introduction to Software Engineering Job Simulation
Issued Sep 2024
ID: JSxNw9LND6xpDBHEP
Web Development, HTML
JPMorgan Chase & Co. via Forage
Agile Job Simulation
Issued Jun 2024
ID: iYbJZHpxLKHzf6tP6
Agile Methodology
09 — Contact

Let's build
something great.

arshitad709@gmail.com · +61 426 992 881