Soroosh Shahtalebi
Principal Engineer
Specializing in Machine Learning, Generative AI, and Autonomous Agentic Systems
About Me
As a Principal Engineer at Huawei Canada, I lead initiatives in autonomous agentic workflows and Large Language Models (LLMs). My journey from academic research to industry has included impactful contributions to AI, such as pioneering generative AI work at Unity Technologies, where I spearheaded the development of sound generation systems and human body modeling solutions.
My expertise spans both theoretical and applied AI, with high-impact publications in domain generalization and out-of-distribution learning. I’ve architected and deployed large-scale AI systems on cloud platforms like GCP and Azure, with strong MLOps and CI/CD practices. From explainable AI in healthcare to production-ready generative solutions, I focus on bridging theory and practice to tackle real-world challenges.
Experience
Principal Engineer
Huawei Canada
- Leading research and development in autonomous agentic workflows and LLMs
- Developing innovative solutions for AI-driven autonomous systems
- Architecting and implementing large-scale AI systems
Senior Machine Learning Engineer
Unity Technologies
- Led a team in developing a groundbreaking generative sound effect system from research concept to production deployment
- Developed Generative AI solutions for materials, textures, and human body
- Conducted research on Out-of-Distribution Generalization using synthetic data
- Worked on the development of 3D object and scene reconstruction pipelines
- Involved in the productionization and deployment of ML models at large-scale over GCP and Microsoft Azure
Postdoctoral Research Fellow
University of Toronto and Vector Institute for Artificial Intelligence
Project: Theory of Domain Generalization applied in Healthcare
Postdoctoral Research Fellow
Mila University of Montreal
Project: Theoretical perspectives on Out-of-Distribution Generalization
Part-time Consultant
MathWorks
Provided consultations to improve the Wavelet Toolbox of MATLAB software.
Part-time Technical Consultant
Ubico Labs
Advised on integrating ML into automated mailing systems.
CEO and Founder
Hooshmand Afzar Pars
Specialized in the design and production of Bio-feedback and Neuro-feedback devices.
Education
PhD in Information Systems Engineering
Concordia University, Montreal, QC, Canada (2016–2020)
With distinction, Outstanding grade. Project on Effective Application of Data-driven Learning Models for Assistive Technologies and Brain-computer Interfaces.
M.Sc. in Biomedical Engineering (minor in Bio-electrics)
K. N. Toosi University of Technology, Tehran, Iran (2013–2015)
With distinction. Project on Design and implementation of the processing and controlling circuit board of a blood cell counting machine.
Bachelor's in Electrical Engineering (major in Telecommunication)
Yazd University, Yazd, Iran (2009–2013)
Project on Design and production of a planar goniometer for joint angle measurement.
Selected Publications
Total Citations: 265
H-index: 10
2023
AnthroNet: Conditional Generation of Humans via Anthropometrics
F Picetti, S Deshpande, J Leban, S Shahtalebi, J Patel, P Jing, C Wang, ...
2022
Predicting Fine-Tuning Performance with Probing
Z Zhu, S Shahtalebi, F Rudzicz
Ood-probe: A Neural Interpretation of Out-of-Domain Generalization
Z Zhu, S Shahtalebi, F Rudzicz
A Remedy for Distributional Shifts through Expected Domain Translation
JC Gagnon-Audet, S Shahtalebi, F Rudzicz, I Rish
Out-of-Distribution Failure through the Lens of Labeling Mechanisms: An Information Theoretic Approach
S Shahtalebi, Z Zhu, F Rudzicz
2021
Sand-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
S Shahtalebi, JC Gagnon-Audet, T Laleh, M Faramarzi, K Ahuja, I Rish
A Deep Explainable Artificial Intelligent Framework for Neurological Disorders Discrimination
S Shahtalebi, SF Atashzar, RV Patel, MS Jog, A Mohammadi
2020
PHTNet: Characterization and Deep Mining of Involuntary Pathological Hand Tremor using Recurrent Neural Network Models
S Shahtalebi, SF Atashzar, O Samotus, RV Patel, MS Jog, A Mohammadi
Siamese Neural Networks for EEG-based Brain-Computer Interfaces
S Shahtalebi, A Asif, A Mohammadi
Towards Effective Application of Data-driven Learning Models for Assistive Technologies and Brain-computer Interfaces
S Shahtalebi
2019
HMFP-DBRNN: Real-time Hand Motion Filtering and Prediction via Deep Bidirectional RNN
S Shahtalebi, SF Atashzar, RV Patel, A Mohammadi
WAKE: Wavelet Decomposition Coupled with Adaptive Kalman Filtering for Pathological Tremor Extraction
S Shahtalebi, SF Atashzar, RV Patel, A Mohammadi
2018
Bayesian Optimized Spectral Filters Coupled with Ternary ECOC for Single-trial EEG Classification
S Shahtalebi, A Mohammadi
A Bayesian Framework to Optimize Double Band Spectra Spatial Filters for Motor Imagery Classification
S Shahtalebi, A Mohammadi
2017
Ternary ECOC Classifiers Coupled with Optimized Spatio-spectral Patterns for Multiclass Motor Imagery Classification
S Shahtalebi, A Mohammadi
A Multi-rate and Auto-adjustable Wavelet Decomposition Framework for Pathological Hand Tremor Extraction
S Shahtalebi, A Mohammadi, SF Atashzar, RV Patel
Talks & Contributions
Founder and Organizer of the "Ethical AI" Reading Group
An initiative to foster discussions on the ethical aspects of artificial intelligence.
PhD Representative at Council Meetings, Concordia University Canada
Participated in departmental council meetings, contributing to discussions and decision-making (2018-2020).
Reviewer and Contributor at Notable Conferences
Acted as a reviewer and contributor to discussions in various prestigious conferences such as MAIS, ICASSP, EMBC, SMC, and GlobalSIP.
Awards & Recognition
Postdoctoral Fellowship
Vector Institute, Toronto, ON, Canada (2021)
$75,000/year
Relève Étoile Louis-Berlinguet (Rising Star)
Fonds de Recherche du Québec (FRQ), Quebec, Canada (2020)
Concordia Stand-Out Graduate Research Award
Concordia University, Canada (2020)
Concordia Accelerator Award
Concordia University, Canada (2019)
$5,000
Concordia Merit Scholarship
Concordia University, Canada (2018)
$10,000
Concordia Graduate Student Mobility Award
Concordia University, Canada (2018)
$3,000
Tuition Award of Excellence for International Students
Concordia University, Canada (2016)
$36,000
Ranked 6th (top 1%) in Nationwide Exam for PhD
National Organization of Educational Testing, Iran (2016)
Rank 1st in M.Sc. program of Biomedical Engineering
K.N.Toosi University of Technology, Tehran, Iran (2015)
Distinguished paper in International Mathematics Competition
Tournament of Towns, Moscow, Russia (2008)
Contact
If you have any questions or would like to discuss potential collaborations, feel free to reach out to me.
(+1) 514-662-6571