Hi, I'm Zuzu
Software Engineer

University of Melbourne Graduate I specialize in AI development, working with LLMs, building agentic systems, and creating robotics applications.

Expertise

Areas of Specialization

Combining deep technical knowledge with practical experience to deliver innovative AI solutions.

Large Language Models (LLMs)

Expert in fine-tuning, prompt engineering, and deploying LLMs for various applications including chatbots, code generation, and knowledge retrieval systems.

Agentic AI Systems

Building autonomous AI agents that can reason, plan, and execute complex tasks using frameworks like LangChain, AutoGPT, and custom agent architectures.

Cloud Engineering & DevOps

Hands-on experience deploying applications via core AWS services and automating delivery workflows using CI/CD pipeline integration

Robotics & Autonomous Systems

Experience with I2C, motion planning, and sensor fusion for building intelligent robotic systems.

Background

Education & Research Foundation

Building on Strong Foundations

Combining academic excellence with hands-on experience in cutting-edge AI technologies.

University of Melbourne

Bachelor of Science (Computing and Software Systems) — Melbourne International Undergraduate Scholarship recipient.

GenAI Professional Certification

AWS Certified Generative AI Developer - Professional, AWS Certified AI Practitioner

Turning research into real-world impact.

LLM-Powered Applications

Developed production-ready applications using GPT-4, Claude, and open-source models like LLaMA and Mistral.

Multi-Agent Coordination

Designed systems where multiple AI agents collaborate to solve complex tasks through communication and planning.

Computer Vision Systems

Implemented object detection, segmentation, and Facial Expression Detection (FED)

How I Can Help You

Step 1: Consultation

We discuss your AI/ML needs, whether it's building an LLM application, implementing computer vision, or developing robotic systems.

Step 2: Solution Design

I design a tailored solution architecture, selecting the right models, frameworks, and infrastructure for your use case.

Step 3: Development & Training

Building and training models, developing applications, and integrating AI capabilities into your existing systems.

Deployed & Supported!

Tech Stack

Technical Skills

Technologies and frameworks I work with daily

Python

Development expertise in Python

LangChain & Amazon Bedrock

Building RAG systems, agents, and LLM-powered applications.

Docker

Containerization and orchestration.

AWS

AWS Cloud services expertise.

Hugging Face

Transformers library and model hub for NLP and multimodal AI.

Git & DevOps

Good understanding of DevOps, CI/CD, and Git

Ready to Build Something
Amazing with AI?

Let's discuss how AI can transform your business or bring your ideas to life.I'm always excited to work on challenging and innovative projects.