Professional Dossier

Enterprise MLOps, RAG applications, and scalable cloud data workflows

ahmedbinirfan@gmail.comMelbourne, VICLinkedIn

Summary

I'm an AI & Data Engineer with deep experience in MLOps, cloud infrastructure, and data analytics, turning complex models and pipelines into systems teams can rely on in production.

My toolkit spans Python, SQL, AWS, Kubeflow, and GenAI frameworks including LangChain and PyTorch. I've designed end-to-end MLOps pipelines, built RAG powered applications, and coordinated scalable enterprise data workflows.

I'm driven by autonomous AI agents and modern cloud platforms that automate intricate work and deliver clear, measurable outcomes for the business.

Education

Deakin University
Master of Applied Artificial Intelligence
Expected graduation July 2027.
Monash University
Bachelor of Computer Science in Data Science

Section 01

Skills & toolkit.

Technical inventory aligned with the PDF resume.

Languages & frameworks

Python, SQL, TypeScript, R, Next.js, Shell

AI & machine learning

PyTorch, scikit-learn, LangChain, LangGraph, AWS Bedrock, SageMaker

Cloud & Infrastructure

AWS EKS, EC2, S3, Lambda, Vertex AI, Athena

Data engineering

Databricks, Teradata, SQL Server, Pandas, Oracle, NumPy, MongoDB, AWS Glue, GitLab, Redshift, Spark, Kafka

Tools & platform

Power BI, Terraform, Vercel, QuickSight, Kubeflow, Supabase, Azure DevOps, Tableau, Jenkins, Vega-Lite, Git, Excel, KServe

Section 02

Career Milestones.

A chronological record of engineering work and technical leadership.

Feb 2026 – Present
Australian Taxation Office
Data Engineer
Melbourne, VIC
End-to-end ML lifecycle on enterprise AWS.
- Managing the end-to-end machine learning lifecycle on an enterprise AWS platform, empowering 50+ data scientists to seamlessly transition from project onboarding and Kubeflow environment provisioning to full scale model training.
- Developing a Gen AI chatbot leveraging Retrieval-Augmented Generation (RAG) against comprehensive ATO knowledge bases, leveraging LangChain, AWS etc, automating responses to 10,000+ monthly queries and reducing manual query resolution time by 40%.
- Performing critical BAU operations and ML infrastructure maintenance, executing monthly Amazon EKS cluster patching and optimizing model inference pipelines via KServe and ModelServe to guarantee 99.9% platform uptime.
- Administrating centralized ML libraries and dependencies via Artifactory, ensuring secure, standardized package distribution for 100+ concurrent projects, which accelerated environment configuration times by 50%.
Aug 2025 – Present
Webifex Labs
Forward Deployed Engineer (Weekend/Freelance)
May 2023 – Feb 2026
Australian Taxation Office
Data Analyst
Melbourne, VIC
SQL analytics, Power BI, and model QA/UAT.
- Developed a complex SQL risk stratification model utilizing taxpayer financial data to segment income behaviours (non-lodgers/omitted income), assigning targeted risk tiers to drive strategic compliance interventions and uncover key trends.
- Architected interactive Power BI financial dashboards for 3 ATO business units, eliminating 10 hours of manual reporting weekly, while upskilling 2 junior data analysts to boost the team's overall reporting capacity by 25%.
- Spearheaded QA and User Acceptance Testing (UAT) for analytical financial models, collaborating with Data Science teams to execute rigorous test cases that identified critical anomalies and improved pre-deployment accuracy by an average of 15%.
- Optimized continuous financial data pipelines utilizing GitLab and Agile methodologies, bridging the gap between technical execution and diverse stakeholder requirements to deliver secure, scalable data solutions.
Nov 2021 – May 2023
Civica Asia Pacific
Data Engineer
Melbourne, VIC
Pipelines, SQL automation, and CI/CD.
- Orchestrated end-to-end data pipelines, encompassing data cleaning, transformation, and aggregation, and translated complex datasets into clear, actionable stakeholder dashboards utilizing Tableau and Excel.
- Architected and implemented 20+ SQL stored procedures to automate recurring data reconciliation tasks, reducing manual processing time by 40% and increasing data accuracy by 90%.
- Optimized CI/CD pipelines utilizing Azure DevOps, Git, and Jenkins, reducing system downtime by 25% and cutting feature deployment times by 30%, while enforcing strict coding standards through rigorous peer reviews.
- Mentored and upskilled 3 junior data engineers in SQL and best practices, cultivating a highly cohesive, technically proficient team.
Nov 2020 – Feb 2021
Civica Asia Pacific
Junior SQL Developer
Melbourne, VIC
Database apps and change documentation.
- Analyzed, researched and troubleshooted issues in database applications.
- CRUD operations and data manipulation skills with SQL. Design and implement solutions to avoid recurring problems.
- Used of Azure DevOps with GIT and Jenkins.
- Maintained evidence and documentation for all the changes proposed to recurring problems.

Section 03

Credentials & training.

Verified certification badges aligned with the PDF resume.