Hi, I’m Shifat Rahman, a software engineer and AI enthusiast based in Melbourne. I currently help PwC Australia’s AI Center of Excellence drive adoption of Generative AI across more than 9,400 staff, delivering features on an internal AI platform and surfacing insights to leadership. My background spans building scalable microservices, AI-powered tooling, and data-driven ML workflows across fintech, robotics, and community projects. I enjoy collaborating across teams to turn complex problems into practical, impactful solutions and I’m passionate about ML, MLOps, and empowering people with AI tools. I’ve worked across fintech, space robotics, and consulting contexts, delivering reliable systems, AI integrations, and governance-ready observability. I’m always eager to learn, share knowledge, and contribute to projects that push the boundaries of what AI can do for teams and end users.

Shifat Rahman

PRO

Hi, I’m Shifat Rahman, a software engineer and AI enthusiast based in Melbourne. I currently help PwC Australia’s AI Center of Excellence drive adoption of Generative AI across more than 9,400 staff, delivering features on an internal AI platform and surfacing insights to leadership. My background spans building scalable microservices, AI-powered tooling, and data-driven ML workflows across fintech, robotics, and community projects. I enjoy collaborating across teams to turn complex problems into practical, impactful solutions and I’m passionate about ML, MLOps, and empowering people with AI tools. I’ve worked across fintech, space robotics, and consulting contexts, delivering reliable systems, AI integrations, and governance-ready observability. I’m always eager to learn, share knowledge, and contribute to projects that push the boundaries of what AI can do for teams and end users.

Available to hire

Hi, I’m Shifat Rahman, a software engineer and AI enthusiast based in Melbourne. I currently help PwC Australia’s AI Center of Excellence drive adoption of Generative AI across more than 9,400 staff, delivering features on an internal AI platform and surfacing insights to leadership. My background spans building scalable microservices, AI-powered tooling, and data-driven ML workflows across fintech, robotics, and community projects. I enjoy collaborating across teams to turn complex problems into practical, impactful solutions and I’m passionate about ML, MLOps, and empowering people with AI tools.

I’ve worked across fintech, space robotics, and consulting contexts, delivering reliable systems, AI integrations, and governance-ready observability. I’m always eager to learn, share knowledge, and contribute to projects that push the boundaries of what AI can do for teams and end users.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Fluent

Work Experience

Associate Software Engineer at PwC Australia — AI Center of Excellence
October 1, 2024 - Present
Led AI adoption across 9,400+ staff by delivering 20+ features and resolving 30+ bugs on the internal Generative AI platform ChatPwC, achieving ~80% adoption and ~40% productivity gains firm-wide. Implemented an agentic AI personal assistant for MS Teams (Chats, Channels, Emails, Calendar) using LangChain and LLM orchestration. Developed an LLM-powered text editor with rewrite, fix, and summarise capabilities and a git-style diff view for granular change tracking via prompt engineering and OpenAI API. Monitored Azure environments with OpenTelemetry to surface bottlenecks and maintain uptime. Built an ETL pipeline on Node.js to collect, process, and store AI usage metrics in a cloud data lake with DBT for real-time BI for the C-suite.
Software Engineer at Quest Payment Systems — Innovation Team
October 1, 2022 - October 1, 2024
Addressed payment processing reliability by developing and deploying high-availability microservices; improved system security and stability for a large-scale transaction environment. Built a software changelog tool on GCP with role management and Retrieval-Augmented Generation (RAG) using a vector database, boosting productivity and context indexing for cross-team stakeholders. Led scalable merchant data acquisition and mobile application work using Google Maps API and Kotlin, with CI/CD deployed to 150+ employees; mentored an intern.
AI Integration Engineer at Melbourne Space Program — Humanoid Robotics Team
June 1, 2023 - November 1, 2023
Solved robot bartender’s lack of voice interaction by integrating an Advanced Speech Recognition model onto a Raspberry Pi, coordinating drink orders through Jetson Xavier NX on ROS for real-time autonomous AI interaction. Led end-to-end hiring for 20 engineers aligned with the organisation’s AI roadmap and long-term vision.
Information Technology Consultant at Mitcham Community House — Global Victoria Intel lect Program — Internship
July 1, 2022 - August 1, 2022
Audited client’s digital presence and delivered an industry-standard social media template suite that improved brand consistency and measurably increased online engagement. Managed stakeholder expectations and team dynamics following member departures by realigning tasks and priorities to ensure timely project delivery.
Software Engineering Intern at Crystal Technology — Internship
November 1, 2021 - March 1, 2022
Unified fragmented patient billing data across national hospitals into a single analytics dashboard, delivering data-driven insights for clinical operations. Built interactive dashboards using the MERN stack and D3.js to improve data visualization and user experience for business stakeholders.

Education

Bachelor of Computer Science — Data Science at Swinburne University of Technology
January 1, 2021 - December 31, 2023

Qualifications

Azure AI Fundamentals
January 11, 2030 - June 16, 2026
NVIDIA AI Infra & Ops
January 11, 2030 - June 16, 2026
AWS Cloud Practitioner Foundational
January 11, 2030 - June 16, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment