Fateme Eslami
Ai Engineer & Researcher @Specifica Pty Ltd
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WORK HISTORY
Ai Engineer & Researcher @Specifica Pty Ltd
AU
Working across both engineering and research tracks: building and deploying production-grade C++ deep learning systems for medical imaging and surgery, while also conducting applied research into model architectures and real-time inference for safety-critical clinical workflows.AI Engineer focused on developing deep learning models for medical imaging and surgical applications, implemented in C++ for real-time, safety-critical deployment.Key responsibilities:Designing and training neural networks for medical image analysis and intra-operative surgical guidanceImplementing and optimising AI models in C++ for high-performance, low-latency inferenceIntegrating AI components into production pipelines used in clinical and surgical workflowsEnsuring model reliability, robustness, and compliance with the demands of safety-critical healthcare environmentsCollaborating with research, engineering, and clinical teams to translate medical requirements into deployable AI systems
EDUCATION
University of Birmingham
Master's degree, Artificial Intelligence
K. N. Toosi University of Technology
Bachelor's degree, Electrical and Electronics Engineering
ABOUT FATEME ESLAMI
I work at the intersection of multimodal perception, gaze and behavioural modelling, and real-time interactive systems. Currently across four concurrent research roles: AI Engineer & Researcher at Specifica Pty Ltd (Australia, remote) building C++ deep learning pipelines for medical imaging and computer-assisted surgery; AI Developer at the University of Birmingham on a Google research collaboration decoding fine-grained typing intentions from 3D hand kinematics in real time; Developer & Researcher on a new automatic paper evaluation system with Dr Daniele Giunchi; and contributor to the EPSRC-funded ARME music research project, integrating C++ score-following into JUCE-based real-time audio plugins.Co-author on submitted papers to ACM UIST 2026 (PrivateGuide — privacy-preserving remote collaboration in MR) and ISMAR 2026 (Implicit Gaze+Slide — gaze-based MR text input). Also working on early-stage research bridging quantum computation and computer-generated holography.MSc Artificial Intelligence and Machine Learning (Distinction) from the University of Birmingham. BSc in Electrical Engineering from K. N. Toosi University of Technology.I\'m interested in extending real-time multimodal systems beyond the lab — into XR, assistive interfaces, and applied research engineering at the intersection of perception, language models, and human–AI interaction.
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