Hi, I'm Zuzu
AI/ML Engineer & Robotics Specialist
University of Melbourne Graduate Building intelligent systems that bridge the gap between cutting-edge AI research and real-world 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.
Machine Learning & Deep Learning
Proficient in designing and training neural networks for computer vision, NLP, and reinforcement learning using PyTorch and TensorFlow.
Robotics & Autonomous Systems
Experience with ROS/ROS2, motion planning, SLAM, and sensor fusion for building intelligent robotic systems.
MLOps & Model Deployment
Skilled in deploying ML models at scale using Docker, Kubernetes, and cloud platforms (AWS, GCP) with proper monitoring and CI/CD pipelines.
Research & Innovation
Published researcher with contributions to top-tier conferences, passionate about pushing the boundaries of AI capabilities.
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 in Software Engineering with Honours, specializing in Artificial Intelligence and Machine Learning.
Research Experience
Conducted research at the Melbourne AI Lab, focusing on multi-agent systems and robotic manipulation.
Industry Collaboration
Collaborated with leading tech companies on real-world AI applications during internships and research projects.
LLM-Powered Applications
Developed production-ready applications using GPT-4, Claude, and open-source models like LLaMA and Mistral.
Autonomous Robot Navigation
Built navigation systems for mobile robots using deep reinforcement learning and classical planning algorithms.
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 pose estimation for robotic manipulation tasks.
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
Primary language for ML development with deep expertise in PyTorch ecosystem.
Building RAG systems, agents, and LLM-powered applications.
Experience with multiple deep learning frameworks for diverse projects.
Robot Operating System for building robotic applications and simulations.
Containerization and orchestration for scalable ML deployments.
Cloud platforms for training, deploying, and serving ML models.
Transformers library and model hub for NLP and multimodal AI.
Computer vision and GPU-accelerated computing.
Version control and experiment tracking for reproducible ML.
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.