Rayaan Rajabally

University of Auckland

• –GPA — 8.0 / 9.0
• –Courses in DSA, Software Design, OS, OOP, DB Systems, CompSys, SQA, Networks, Security, AI/ML and more

Software Engineering Intern

• –Built an AI-powered translation pipeline for legacy Windows RC files using Python and LLM APIs, with structured validation and controlled deployment
• –Automated Steelwise CAD optimisation testing with Python and TestComplete, running parameter sweeps and analysing structural trade-offs
• –Designed Microsoft Fabric pipelines (PySpark, dataflows, lakehouse) to ingest and model financial data from SAP and Salesforce
• –Modelled dimensional and time-series schemas for revenue, churn, and forecasting in Fabric semantic models
• –Delivered Power BI and Fabric dashboards surfacing operational and financial insights across teams

Cross-functional collaboration on production systems, rapid adoption of enterprise tooling, and translating engineering work into clear business outcomes.

Support Engineer · Remote, Miami · Overseas Experience

Privacy-first crypto and multi-asset portfolio tracker, supporting 150+ blockchains, exchanges, and brokerages.

• –Replaced email support with an automated 24/7 Intercom workflow, cutting response times from 24 hrs to under 2 hrs
• –Analysed user behaviour and usage patterns using SQL to inform product decisions
• –Collaborated with product and engineering teams to refine UI features and improve app experience
• –Onboarded new staff and provided system training to integrate them into the team
• –Built a Slack bot to auto-post support issues and manage tickets via slash commands

Working across time zones in an international team with exposure to global product lines and stakeholders.

Admin · Royal Oak

• –Managed scheduling, promotional materials, and finance workflow operations

Python · Flask · Flutter

• –Automated composite image generation showing time and lighting changes across fixed scenes
• –Built multiple rendering algorithms (Slices, Vortex, Starburst, Circles) in Python with custom masking and gradient logic
• –Created a Flask API to merge time-lapse images, reducing manual Photoshop work by 80%
• –Built a Flutter desktop app for image selection, parameter tuning, and live preview
• –Packaged the full system as a Windows executable using PyInstaller and Inno Setup

Full-stack development with Python and Flutter, image processing APIs, and packaging desktop tools for distribution.

React Native · TypeScript · Expo · PostHog · Sentry

• –Started as a personal habit tracker, evolved into a production-ready cross-platform mobile app
• –Built with React Native and Expo featuring goal tracking, streaks, and progress charts
• –Designed a local-first data model for fast, reliable offline usage
• –Integrated PostHog for behavioural analytics and Sentry for real-time crash reporting
• –Preparing for App Store and Play Store release via Expo's build and deployment pipeline
• –Refined onboarding flows and UX patterns through repeated iteration to improve clarity and long-term retention

Taking an app from idea to production — local-first architecture, analytics integration, and shipping polished software.

Python · scikit-learn · MLP · Jetson Nano

• –Collected and labelled a custom image dataset of traffic signs and signals directly from the robot's on-board camera
• –Trained and tuned an MLP model for real-time recognition of 5 sign classes (stop, speed, green light, yellow light, sheep)
• –Deployed the model on a Jetson Nano-powered robot, enabling fully autonomous operation with no remote input
• –Robot responded correctly to each sign: stopping, adjusting speed, and holding position based on live predictions

End-to-end ML on real hardware — self-collected data, model training and optimisation, and embedded deployment for autonomous control.

• –Photographed local community and sports events, blending creativity and technical skill
• –Led photography sessions for younger audiences, teaching visual storytelling through the camera

• –Tutor maths and coding one-on-one, through holiday programmes, and real-world problem solving sessions
• –Run sessions for students from intermediate through to university level across Auckland

• –Organised and led youth camps, creative workshops, and team activities focused on connection and collaboration