Summary
I am a highly competent software and cloud engineer with extensive experience in data engineering, machine learning, and cloud platforms. With proven expertise in building scalable data infrastructure and MLOps platforms, I have successfully delivered reliable solutions while taking leadership roles in multiple projects. I am an excellent team player with strong technical knowledge in solution architecture, cloud development, data engineering, and machine learning.
Key Skills
- Data engineering and MLOps platform development
- Cloud engineering and scalable infrastructure design
- Machine learning and natural language processing
- Strong interpersonal and cross-functional collaboration skills
- Full-stack development and DevOps practices
Experience
Cloud Platforms Engineer (ANZ Plus)
October 2024 - Present
ANZ Banking Group, Melbourne, VIC
- Design and implement CI/CD patterns to improve developer efficiency across the organization
- Set release engineering standards for seamless application deployment to production and non-production environments
- Develop and deploy scalable serverless infrastructure using Terraform on GCP
- Implement comprehensive MLOps Platform using MLFlow, Dataproc Metastore, GCS, Trino and JupyterHub with Kubernetes, Flux and Terraform for reliable data infrastructure
Solutions Architect (Cloud COE)
March 2023 - October 2024
ANZ Banking Group, Melbourne, VIC
- Delivered multiple successful cloud migration designs following security and architecture best practices
- Conducted in-depth application assessments to identify cloud migration candidates while ensuring functional and non-functional requirements compliance
- Served as trusted advisor for cloud-native applications built on container platforms
- Trained and operationalized machine learning models using YoloV8 for infrastructure component detection from architecture diagrams, automating cloud migration assessments
Solutions Architect Intern (Cloud COE)
August 2022 - March 2023
ANZ Banking Group, Melbourne, VIC
- Created reusable pre-approved designs to accelerate cloud adoption for ANZ teams
- Performed as trusted technical advisor, establishing best practices for cloud-native solution designs
Research Assistant
September 2021 - March 2022
Deakin University, Melbourne, VIC
- Conducted research on probabilistic and machine learning models for Named Entity Recognition and Relation Extraction
- Researched deep learning Transformer models for information extraction
- Developed comprehensive NLP pipeline for data cleaning, preprocessing, entity extraction and relation extraction
Education
Bachelor of Software Engineering (First Class Honours)
December 2023
Deakin University, Melbourne, VIC
- WAM 85.5%
- Associate Dean Research Summer Project (Scholarship) - 2021
- Deakin Higher Degrees by Research funded project (Scholarship) - 2021
Certifications
AWS Certified DevOps - Professional
Amazon Web Services
- Demonstrated expertise in designing and deploying scalable, highly available, and fault-tolerant systems on AWS
- Deploy cloud architectures using AWS native CI/CD pipelines
- Develop AWS infrastructure using Terraform, CloudFormation and AWS CDK
- Implement compliance logic within AWS environment to ensure security and architecture best practices
- Automate operations with AWS Serverless Application stacks
AWS Certified Developer - Associate
Amazon Web Services
- Experienced in designing and implementing monitoring, metrics, and logging solutions in DevOps context for secure and compliant systems
- Skilled in Infrastructure as Code (IAC) using AWS CloudFormation and Terraform for programmatic infrastructure management
- Proficient in implementing continuous delivery and deployment techniques, automation and orchestration of releases
AWS Certified Architect - Associate
Amazon Web Services
- Proficient in developing, deploying, and debugging cloud-based applications on AWS utilizing cloud native services
- Experienced in implementing security best practices including encryption, RBAC and policies, and secure application development on AWS
GCP Certified - Associate Cloud Engineer
Amazon Web Services
- Proficient in developing, deploying, and debugging cloud-based applications on GCP utilizing cloud native services
- Experienced in implementing security best practices including encryption, RBAC and policies, and secure application development on GCP
Projects
Network Resource Optimisation using KNative
Technologies: KNative, Kubernetes, Golang,
- Setup virtual 5G network using Kubernetes and Knative, UERANSIM and free5GC
- Conducted performance testing on resource efficiency using Knative for network function resource management
Reinforcement Learning for 5G
Technologies: Python, Simulation, Reinforcement Learning,
- Studied 5G New Radio Specification on Network Function Virtualization
- Developed reinforcement learning algorithms for network slicing optimization
- Effectively communicated complex technical concepts to non-technical stakeholders, enhancing understanding and collaboration
Exact Cover Algorithms
Technologies: C++, Python, Combinatorial Algorithms,
- Conducted research on Zero-Suppressed Binary Decision Diagrams (ZDD)
- Studied DLX algorithms for solving exact cover problems
References
Available upon request