Summary
I am a highly competent software engineer with multiple research projects and attractive academic performance. In addition, I have taken a leadership role in multiple projects with impressive results. I am an excellent team player and have extensive knowledge in technical subjects in solution architecture, software engineering, machine learning, cloud development and data engineering.
Key Skills
- Ability to work in teams and independently.
- Strong interpersonal and engagement skills.
- Full-stack development.
- Cloud Engineering.
- Machine learning and natural language processing.
Experience
Cloud Platforms Engineer (ANZ Plus)
October 2024 - Present
ANZ Banking Group, Melbourne, VIC
- Design CI patterns to be used across wider organisation improving developer efficiency
- Set release engineering standards for new teams to start deploying applications to production and non-production environments seamlessly.
- Develop and deploy infrastructure using terraform to GCP
Solutions Architect (Cloud COE)
March 2023 - October 2024
ANZ Banking Group, Melbourne, VIC
- Multiple successful cloud migration designs following cloud security and architecture best practices.
- In depth application assessment to identify cloud migration candidates while meeting functional and non-functional requirements.
- Performed as a trusted advisor for cloud-native applications build on top of container platforms.
Solutions Architect Intern (Cloud COE)
August 2022 - March 2023
ANZ Banking Group, Melbourne, VIC
- Work to create reusable pre-approved designs ANZ teams can use get on the cloud faster
- Perform as a trusted technical advisor, setting 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.
- Conducting research on deep learning (Transformer) models on information extraction.
- Developed 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 CICD pipelines
- Develop AWS infrastructure using Terraform, Cloudformation and AWS CDK
- Implement compliance logic within AWS environment to ensure security and achitecture best practices.
- Automate boring tasks with AWS Serverless Application stacks.
AWS Certified Developer - Associate
Amazon Web Services
- Experienced in designing and implementing monitoring, metrics, and logging solutions in a DevOps context to
- ensure secure and compliant systems.
- Skilled in Infrastructure as Code (IAC) using AWS CloudFormation and Terraform, to programmatically manage infrastructure resources.
- 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 services.
- Experienced in implementing security best practices such as encryption, RBAC and policies, and secure application development on AWS.
GCP Certified - Associate Cloud Engineer
- Proficient in developing, deploying, and debugging cloud-based applications on AWS utilizing cloud native services services.
- Experienced in implementing security best practices such as encryption, RBAC and policies, and secure application development on AWS.
Projects
Network Resource Optimisation using KNative
Technologies: KNative, Kubernets, Golang,
- Setup virtual 5G network using Kubernetes and Knative, UERANSIM and free5GC
- Run 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.
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