Hi, I’m Jenul Ferdinand, a graduate engineer from Monash University with hands-on experience across startups, clubs, and industry placements. I design and ship high-performance backend architectures, automation tooling, and AI-enabled workflows, with a focus on domain-driven design (DDD), test-driven development (TDD), and scalable data pipelines. I’m passionate about turning complex problems into robust, maintainable solutions and mentoring teams to adopt best practices. Beyond core development, I contribute to autonomous vehicle research, student technology initiatives, and UNICEF projects, always exploring ways to apply software to real-world impact. I enjoy collaborating with cross-functional teams, continuously learning, and delivering tooling that helps others work smarter and faster.…

Jenul Ferdinand

Hi, I’m Jenul Ferdinand, a graduate engineer from Monash University with hands-on experience across startups, clubs, and industry placements. I design and ship high-performance backend architectures, automation tooling, and AI-enabled workflows, with a focus on domain-driven design (DDD), test-driven development (TDD), and scalable data pipelines. I’m passionate about turning complex problems into robust, maintainable solutions and mentoring teams to adopt best practices. Beyond core development, I contribute to autonomous vehicle research, student technology initiatives, and UNICEF projects, always exploring ways to apply software to real-world impact. I enjoy collaborating with cross-functional teams, continuously learning, and delivering tooling that helps others work smarter and faster.…

Available to hire

Hi, I’m Jenul Ferdinand, a graduate engineer from Monash University with hands-on experience across startups, clubs, and industry placements. I design and ship high-performance backend architectures, automation tooling, and AI-enabled workflows, with a focus on domain-driven design (DDD), test-driven development (TDD), and scalable data pipelines. I’m passionate about turning complex problems into robust, maintainable solutions and mentoring teams to adopt best practices.

Beyond core development, I contribute to autonomous vehicle research, student technology initiatives, and UNICEF projects, always exploring ways to apply software to real-world impact. I enjoy collaborating with cross-functional teams, continuously learning, and delivering tooling that helps others work smarter and faster.

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Skills

Experience Level

Node.js
Expert
PostgreSQL
Expert
MongoDB
Expert
TypeScript
Expert
Docker
Expert
React JS
Expert
Kubernetes
Intermediate
Rust
Intermediate
AngularJS
Intermediate

Work Experience

Programming Tutor at Digimaker
October 1, 2024 - Present
Teaching weekly Python, Java, C & JavaScript classes to primary school students across 8 schools; achieved 90% in-class completion rate; provided patient debugging guidance; used provided lesson sheets to breakdown core concepts.
Automation Developer at Digimaker
March 1, 2025 - June 1, 2025
Identified bottlenecks in the student reporting process and engineered an automation to generate PDF reports; wrote Google Apps Script for a zero-cost solution; designed high-volume batch processing within Google Apps Script limits; deployed a web interface; implemented CI/CD with GitHub Actions and Jest-based tests.
Computer Science Intern at Hawthorn Football Club
August 1, 2025 - October 1, 2025
Mentored by tech and data GM; built a workflow optimization project for coaching staff; integrated Enterprise AI analytics within GCP (Google Agentspace); implemented tabular RAG for AFL data hosted on Snowflake; integrated tailored AI agents and ML models using ADK and Vertex AI; presented prompts engineering for coaches; developed a one-shot data analysis workflow using Claude Code subagents.
Software Engineer at Plandid
July 1, 2025 - Present
Backend engineering using FastAPI, Pydantic, and SQLAlchemy to support high-volume transactions; Domain Driven Design with strict separation of concerns; designed a 40-table PostgreSQL schema with optimised indexes; reduced API latency by 32% via Redis caching; integrated Google Places API and secured Google Calendar sync with encrypted token storage and CSRF protection.
Software Engineer at Monash Connected Autonomous Vehicle (student team)
August 1, 2025 - Present
Final year project: SIL simulation framework bridging the ROS 2 autonomy stack with a ride-hailing app; designed a concurrent Rust backend for real-time vehicle telemetry ingestion; implemented ROS-to-HTTP bridges; authored feasibility analyses using the Spiral Model; designing a data pipeline with Apache Kafka for vehicle route performance and emissions data.
AI Engineer at Monash Assistive Tech Team (student team)
August 1, 2025 - Present
Collaborated on PhD-led research into responsible conversational AI; evaluated ML approaches and papers for emotional intelligence and communication pattern recognition; built an agentic AI application using Python, FastAPI, LangChain, and LangGraph; explored emoji similarity search with PyTorch embeddings; implemented AI as a Judge evaluation pattern to benchmark model performance.
Project Lead at Faculty of Information Technology Society (Monash)
May 1, 2024 - June 1, 2025
Led a team of 8 students to build projects benefiting the student community; mentored in full-stack and project maintenance practices; fostered an inclusive team environment and managed timelines using Jira with issues, epics, and sprint goals.
Solutions Architect Intern at UNICEF (MIG 2025)
January 1, 2025 - June 1, 2025
Designed a secure SaaS architecture for UNICEF's uSupport platform to integrate third-party services; modeled API integration flows for secure data exchange; presented a technical roadmap and feasibility; achieved High Distinction for solution feasibility.

Education

Bachelor of Computer Science at Monash University, Clayton Campus
January 11, 2030 - November 1, 2026

Qualifications

Australian Government Working with Children Check
January 11, 2030 - December 20, 2025
NVIDIA Developer Program Member
January 11, 2030 - December 20, 2025

Industry Experience

Software & Internet, Education, Media & Entertainment, Professional Services, Government
    paper md2data: A Tool to Convert Markdown Documents into Structured Data

    ➤ A high-performance library and CLI tool to convert markdown into JSON, TOML, YAML, or XML.
    ➤ Wrote parsing logic in Rust by constructing an Abstract Syntax Tree (AST), utilising the pulldown-cmark pull parser.
    ➤ Created bindings for Node.js and Python, with a Github Workflow that publishes to NPM, PyPi, and Crates.io

    Skills: Rust (Programming Language)

    paper MonSTAR: Monash University's Open-Source Course Review and Search Platform

    Open-source digital platform built for Monash University students to browse, review, and share feedback on university subjects, with quality of life features i.e., SETU results and course progression.

    Backend Development:
    ➤ Architected production-ready RESTful API with 30+ endpoints across 6 routing modules
    ➤ Designed MongoDB document schema with 5 core mongoose models featuring complex relationships, cascading deletion hooks, and aggregate pipeline optimisation
    ➤ Implemented JWT-based authentication with Google OAuth2 integration, enforcing Monash email domain validation and role-based access control

    AI Integration:
    ➤ Developed AI-powered unit overview generation system using Google Gemini API (gemini-2.5-flash) to summarise student feedback and SETU data
    ➤ Implemented intelligent caching strategy with 120-day regeneration cycles and review-count-based invalidation to optimise API quota usage
    ➤ Engineered XML-based prompt construction combining review sentiment, SETU statistics, and metadata for context-aware AI summaries

    Frontend Development
    ➤ Built responsive SPA with 9 feature routes using standalone components and native control flow.
    ➤ Designed modular service layer with 8 singleton services managing API communication, authentication state, and responsive layout

    CI/CD:
    ➤ Configured GitHub Actions CI/CD pipeline for automated deployment to our VPS with zero-downtime.
    ➤ Implemented environment-based configuration supporting development/production with service management and health checks

    Main Features:
    ➤ Real student reviews with AI overviews, real-time notifications, advanced filtering with debounced search, interactive course progression map built using WebCoLa, and automated SEO sitemap generation.