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I am Kian Babanezhad, a Montreal-based ML Engineer and Data Scientist with 5 years of experience in data science, pattern recognition, predictive modeling, and statistical analysis. I enjoy turning complex data into actionable insights and building solutions that drive business value. Over the past few years I have applied AI techniques including large language models, regression, CNNs, and other deep learning approaches to develop AI applications, automate workflows, and deliver impactful outcomes. I am proficient with FastAPI and related frameworks, and have a track record of delivering interactive data visualization, RAG pipelines, and local LLM-based chatbots to support research and decision-making.…I am Kian Babanezhad, a Montreal-based ML Engineer and Data Scientist with 5 years of experience in data science, pattern recognition, predictive modeling, and statistical analysis. I enjoy turning complex data into actionable insights and building solutions that drive business value. Over the past few years I have applied AI techniques including large language models, regression, CNNs, and other deep learning approaches to develop AI applications, automate workflows, and deliver impactful outcomes. I am proficient with FastAPI and related frameworks, and have a track record of delivering interactive data visualization, RAG pipelines, and local LLM-based chatbots to support research and decision-making.

Kian Babanezhad

Data Scientist, AI Engineer, AI Developer, +3

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I am Kian Babanezhad, a Montreal-based ML Engineer and Data Scientist with 5 years of experience in data science, pattern recognition, predictive modeling, and statistical analysis. I enjoy turning complex data into actionable insights and building solutions that drive business value. Over the past few years I have applied AI techniques including large language models, regression, CNNs, and other deep learning approaches to develop AI applications, automate workflows, and deliver impactful outcomes. I am proficient with FastAPI and related frameworks, and have a track record of delivering interactive data visualization, RAG pipelines, and local LLM-based chatbots to support research and decision-making.…I am Kian Babanezhad, a Montreal-based ML Engineer and Data Scientist with 5 years of experience in data science, pattern recognition, predictive modeling, and statistical analysis. I enjoy turning complex data into actionable insights and building solutions that drive business value. Over the past few years I have applied AI techniques including large language models, regression, CNNs, and other deep learning approaches to develop AI applications, automate workflows, and deliver impactful outcomes. I am proficient with FastAPI and related frameworks, and have a track record of delivering interactive data visualization, RAG pipelines, and local LLM-based chatbots to support research and decision-making.

Available to hire

I am Kian Babanezhad, a Montreal-based ML Engineer and Data Scientist with 5 years of experience in data science, pattern recognition, predictive modeling, and statistical analysis. I enjoy turning complex data into actionable insights and building solutions that drive business value.

Over the past few years I have applied AI techniques including large language models, regression, CNNs, and other deep learning approaches to develop AI applications, automate workflows, and deliver impactful outcomes. I am proficient with FastAPI and related frameworks, and have a track record of delivering interactive data visualization, RAG pipelines, and local LLM-based chatbots to support research and decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Application Specialist at ITR Laboratories Canada Inc.

October 1, 2022 - Present

Leading and contributed to software validation efforts, serving as Validation Study Director for DocuSign and SigmaStat, and participating in the comprehensive validation of complex systems like Provantis (with over 10 integrated sub-modules), ensuring compliance with regulatory standards and data integrity. Designing and implemented a statistical data analysis application using the Shiny platform (R and Python), enabling dynamic and interactive data visualization for research and operational needs. Designed, trained, and deployed AI/ML models (Python, TensorFlow, scikit-learn), including implementation of Retrieval-Augmented Generation (RAG) pipelines and local LLM-based chatbots, supporting automation of research workflows and enhancing decision-making through data-driven insights.

Software Application Specialist at ITR Laboratories Canada Inc.

October 1, 2022 - Present

Leading and contributed to software validation efforts, including serving as Validation Study Director for DocuSign and SigmaStat, and participating in the comprehensive validation of complex systems like Provantis (with over 10 integrated sub-modules), ensuring compliance with regulatory standards and data integrity. Designing and implemented a statistical data analysis application using the Shiny platform (R and Python), enabling dynamic and interactive data visualization for research and operational needs. Designed, trained, and deployed AI/ML models (Python, TensorFlow, scikit-learn), including implementation of Retrieval-Augmented Generation (RAG) pipelines and local LLM-based chatbots, supporting automation of research workflows and enhancing decision-making through data-driven insights.