Vahid Abdollahi
Senior Applied AI Scientist at Bentley Systems
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolVahid Abdollahi is a Senior Applied AI Scientist based in Montreal with 9 years of engineering experience and 6+ years focused on building and deploying end-to-end AI/ML systems. He blends a PhD-level background in mechanical engineering with hands-on expertise in time-series forecasting, sensor analytics, and physics-informed modeling, delivering production tools for vibration classification, anomaly detection, and thermal prediction. Vahid has driven full ML lifecycles—from IoT data ingestion and scalable pipelines to RAG-driven scenario exploration and decision-making systems for power trading—often combining classical signal processing (FFT, PCA) with modern deep learning (encoder-decoder LSTMs, conv autoencoders) and boosting methods. He’s equally comfortable optimizing HPC solvers and distributed pipelines, having improved parallel scaling for physics solvers and implemented APIs in C++, Python, and Go. Notably, he explores practical chunking strategies for RAG tailored to IoT documents, demonstrating an uncommon focus on retrieval design for agentic workflows. His background in both industry and academic research enables him to translate complex physical problems into deployable, product-facing ML features.
9 years of coding experience
15 years of employment as a software developer
CourseraMSc Mechanical Engineering, MSc Mechanical Engineering at University of TehranDoctor of Philosophy (PhD) Mechanical Engineering, Doctor of Philosophy (PhD) Mechanical Engineering at McGill University
English, French, Persian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
reinforcement-learning9
q-learning9
deep-reinforcement-learning8
actor8
ninja7
cpp7
agent7
package-manager6
cmake6
linux6
rlhf6
conan6
Programming languages (2)
Github contributions (5)
vabdollahi/Natural-Language-Processing
Jul 2019 - Mar 2021
Contributions:1 push, 1 branch in 1 year 8 months
vabdollahi/reinforcement_learning
Mar 2022 - Mar 2022
Contributions:15 pushes, 1 branch in 6 days
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