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I am a Data and AI Specialist with over 15 years of research experience in deep learning, generative modeling, computer vision, NLP, and large-scale AI infrastructure. Throughout my career, I have published more than 20 peer-reviewed papers and contributed to over 2,000 citations. I bring over 6 years of industry experience crafting intelligent systems that enhance decision-making and operational efficiency, specializing in predictive modeling, anomaly detection, and scalable machine learning pipeline design. In my work, I excel at translating advanced artificial intelligence concepts into secure, high-performance platforms that deliver measurable impact across both research and industry. I am passionate about applying multimodal perception and time-series analysis to solve complex problems and thrive in cross-functional collaboration to ensure AI research translates effectively into business solutions.…I am a Data and AI Specialist with over 15 years of research experience in deep learning, generative modeling, computer vision, NLP, and large-scale AI infrastructure. Throughout my career, I have published more than 20 peer-reviewed papers and contributed to over 2,000 citations. I bring over 6 years of industry experience crafting intelligent systems that enhance decision-making and operational efficiency, specializing in predictive modeling, anomaly detection, and scalable machine learning pipeline design. In my work, I excel at translating advanced artificial intelligence concepts into secure, high-performance platforms that deliver measurable impact across both research and industry. I am passionate about applying multimodal perception and time-series analysis to solve complex problems and thrive in cross-functional collaboration to ensure AI research translates effectively into business solutions.

Farzad Sabahi, Ph.D.

AI Engineer, Data Scientist, Developer, +1

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I am a Data and AI Specialist with over 15 years of research experience in deep learning, generative modeling, computer vision, NLP, and large-scale AI infrastructure. Throughout my career, I have published more than 20 peer-reviewed papers and contributed to over 2,000 citations. I bring over 6 years of industry experience crafting intelligent systems that enhance decision-making and operational efficiency, specializing in predictive modeling, anomaly detection, and scalable machine learning pipeline design. In my work, I excel at translating advanced artificial intelligence concepts into secure, high-performance platforms that deliver measurable impact across both research and industry. I am passionate about applying multimodal perception and time-series analysis to solve complex problems and thrive in cross-functional collaboration to ensure AI research translates effectively into business solutions.…I am a Data and AI Specialist with over 15 years of research experience in deep learning, generative modeling, computer vision, NLP, and large-scale AI infrastructure. Throughout my career, I have published more than 20 peer-reviewed papers and contributed to over 2,000 citations. I bring over 6 years of industry experience crafting intelligent systems that enhance decision-making and operational efficiency, specializing in predictive modeling, anomaly detection, and scalable machine learning pipeline design. In my work, I excel at translating advanced artificial intelligence concepts into secure, high-performance platforms that deliver measurable impact across both research and industry. I am passionate about applying multimodal perception and time-series analysis to solve complex problems and thrive in cross-functional collaboration to ensure AI research translates effectively into business solutions.

Available to hire

I am a Data and AI Specialist with over 15 years of research experience in deep learning, generative modeling, computer vision, NLP, and large-scale AI infrastructure. Throughout my career, I have published more than 20 peer-reviewed papers and contributed to over 2,000 citations. I bring over 6 years of industry experience crafting intelligent systems that enhance decision-making and operational efficiency, specializing in predictive modeling, anomaly detection, and scalable machine learning pipeline design.

In my work, I excel at translating advanced artificial intelligence concepts into secure, high-performance platforms that deliver measurable impact across both research and industry. I am passionate about applying multimodal perception and time-series analysis to solve complex problems and thrive in cross-functional collaboration to ensure AI research translates effectively into business solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Postdoctoral Researcher (AI Lead) at McGill University

January 1, 2024 - Present

Leading development of multimodal, real-time end-to-end pipelines for video-based analysis. Designed high-throughput computer vision infrastructure for behavior prediction and alerting. Collaborated with researchers from multiple universities to transition AI research into deployable systems. Introduced pruning and optimization techniques that reduced model inference time by 40%. Implemented robust pipeline ensuring safe model deployment in high-stakes use cases.

Machine Learning Consultant at Global Freelancer

December 31, 2023 - August 27, 2025

Provided consulting for stock price forecasting using LSTM and Transformer models, improving prediction accuracy by 12%. Engineered features from historical data, news sentiment, and macroeconomic indicators. Delivered production-ready Python pipelines with automated data ingestion and retraining. Designed market trend detection and trading signal systems using ML to classify bullish/bearish patterns and anomaly detection for unusual price-volume movements. Created real-time data pipelines and explained model outputs, improving clients' trading decision accuracy by ~15%.

PhD Researcher (AI Researcher) at Concordia University

November 1, 2023 - August 27, 2025

Published 15+ peer-reviewed papers on image retrieval, attention models, and generative networks. Led research on morphological networks, multi-view learning, and spatial feature aggregation for visual understanding. Developed custom deep learning architectures for large-scale visual datasets. Executed full ML pipelines including dataset preparation, model design, training, evaluation, and deployment independently. Applied MLOps principles for reproducibility and scalability. Adapted image retrieval methods to time-series market data and proposed SmartGriffin pruning strategy for inference efficiency on trading-inspired tasks.

Software Developer and AI Analyst at MindMick Inc.

May 1, 2018 - August 27, 2025

Implemented visual memory models using C++ and Golang. Designed large-scale visual datasets for robust visual search and perception. Optimized algorithms to reduce model inference time by ~25%. Contributed to backend services supporting large-scale data retrieval and indexing. Collaborated with cross-functional teams for transitioning prototypes into deployable tools.

Manager of Technology Department at Tadbir Omran Co.

February 1, 2014 - August 27, 2025

Led technology strategy for large-scale construction operations. Designed and implemented a custom field management platform in C++ for scheduling, task tracking, and inter-team communication. Improved operational efficiency by enhancing information flow and reducing coordination errors across multiple teams. Achieved ~30% performance gains and ~20% cost reductions through automation and intelligent system integration. Bridged engineering, software development, and field operations to lay foundation for AI-based construction solutions.