I am a recent Master of Artificial Intelligence graduate from the University of Technology Sydney, currently looking for graduate or junior roles in AI/ML engineering, data engineering, backend development, Python development, and full-stack software development in Sydney.

My work combines applied AI, backend systems, data workflows, and full-stack application development. I have built Python-based AI projects, FastAPI applications, Java/Spring backend systems, Vue front-end features, Go service components, and reproducible evaluation workflows.

I am especially interested in roles where machine learning, data processing, and software engineering meet in practical products or research-oriented systems.

• Applied machine learning and multimodal AI
• Python-based data processing and experiment workflows
• Backend and full-stack application development
• FastAPI / Spring Boot / Gin-based service development
• Vision-language model evaluation
• Reproducible projects with clear documentation

Languages Python · Java · Go · JavaScript / TypeScript · SQL

AI / Data PyTorch · Machine Learning · Deep Learning · Data Analysis · NumPy · pandas · scikit-learn · Computer Vision · Vision-Language Models

Backend / Full-stack FastAPI · Spring Boot · SSM · Gin · Gorm · gRPC · REST APIs · Vue 3 · Next.js

Databases / Tools MySQL · SQLite · Git · GitHub Flow · Linux · Docker · AWS

Engineering topics API design · Backend architecture · Message queues · Code review · Performance profiling · Database optimisation basics

A full-stack travel planning application with a Python FastAPI backend and a Next.js frontend. The system supports stateful requirement collection, structured trip confirmation, itinerary generation, and Google Maps based itinerary display.

Tech stack: Python, FastAPI, Pydantic, SQLite, Google Maps API, Next.js, TypeScript

Highlights:

• Built a structured backend workflow for travel requirement collection and itinerary generation.
• Designed API routes, service-layer logic, domain models, and integration modules.
• Implemented a typed frontend workflow for displaying trip planning results.
• Added backend tests, linting, type checks, and frontend TypeScript checks.

A research project on reliable selective answering in vision-language models. The project studies when a model should answer and when it should abstain under controlled answerable and unanswerable settings.

Tech stack: Python, multimodal model evaluation, benchmark analysis

Highlights:

• Designed answerable and unanswerable evaluation settings.
• Compared structured JSON, tagged-answer, and free-form response modes.
• Analysed answerable coverage, unsupported assertion rate, abstention behavior, and parse validity.

During an internship at Neusoft Group, I worked on a health examination appointment system using Spring Boot and Vue 3.

Tech stack: Java, Spring Boot, Vue 3, MySQL

Highlights:

• Participated in front-end and back-end separated system development.
• Implemented health examination appointment related features and UI pages.
• Gained practical exposure to database design and basic database optimisation methods.

During an internship at Beijing Codnoy Co., Ltd., I worked on an SSM-based e-commerce system.

Tech stack: Java, SSM, MySQL

Highlights:

• Developed order-related backend components.
• Maintained shared/common components used by the team.
• Participated in code review and collaborative development workflows.
• Learned about backend middleware, code submission standards, and team-based project delivery.

A Go-based short-video application project built with Gin, Gorm, and gRPC.

Tech stack: Go, Gin, Gorm, gRPC, message queue, pprof

Highlights:

• Developed a middle-layer message queue module.
• Used pprof for performance testing and profiling.
• Practised GitHub Flow in a collaborative development setting.
• Learned how message queues can improve responsiveness in backend systems.

I am interested in graduate or junior roles where I can combine software engineering with AI and data-driven systems, including:

• Junior Software Engineer
• Junior AI / Machine Learning Engineer
• Python Developer
• Backend Developer
• Data Engineer
• Full-stack Developer

• LinkedIn: https://www.linkedin.com/in/zhengda-peng/
• GitHub: https://github.com/BOOSTERLEL