Software Engineer · Visual Storyteller

Dina Kazemi

Building at the intersection of code, vision, and cinema

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About
Dina Kazemi

Engineer turned
visual thinker

I'm a software engineer with three years of experience building scalable systems across fintech, biomedical research, and cloud infrastructure. I hold a First Class Honours degree in Software Engineering from the University of Sydney.

Now I'm following a deeper pull — toward AI R&D and computer vision, and toward the cinematic possibilities of generative AI. I make short films, visual experiments, and tools that sit at the border of science and storytelling.

Selected Work
The Exchange — Robot character
01
The Exchange

A wordless short film about an alien robot sent to Earth as part of an interplanetary exchange program. It discovers fountains, pigeons, skyscrapers, and rain — finding wonder in everything humans walk past. Warm, comedic, and quietly emotional.

AI Film Character Design Visual Storytelling Midjourney
Cinematic science visualization
02
Unseen

A series of short cinematic pieces that visualize cutting-edge scientific ideas — quantum entanglement, false vacuum decay, time crystals — rendering the invisible as felt experience rather than lecture. Each piece takes one concept, one visual language, 30–90 seconds.

Science Visualization Cinematic Generative AI In Progress
Experience

Where I've built things

Software Engineer
Garvan Institute of Medical Research
Aug 2024 — Aug 2025

Designed automated pipelines for high-volume medical imaging. Developed novel tumour quantification methods. Co-authored a publication in Nature Communications.

Computer Scientist
University of Sydney
Apr 2024 — Aug 2024

Designed and deployed an ensemble of low-power computer vision models using PyTorch. Experimental design, hyperparameter tuning, and automated evaluation logging.

Software Engineer
Elula
Feb 2023 — Apr 2024

Reduced report generation times by 90%. Architected cost-efficient AWS infrastructure with Spot Instances, cutting compute costs by 50%. Terraform, EC2, S3, Fargate.

Research Intern
CSIRO
Nov 2022 — Feb 2023

Built DeepPT, a deep learning model for gene expression prediction from histology images using PyTorch. Managed 400+ whole slide images on HPC infrastructure.

Publications

Nature Communications (2026) — "Charting spatial ligand-target activity using Renoir." Equal contribution author.

Python PyTorch Linux / HPC Midjourney Runway ML Generative AI

Let's talk

Open to AI R&D roles, creative collaborations, and interesting conversations

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