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I'm Ahmad Khanlary, a senior data scientist with deep expertise in machine learning, NLP, and large language models. I design and deploy end-to-end AI solutions across finance, education, and technology sectors, delivering measurable business impact while maintaining privacy and ethics. I thrive on leading cross-functional teams, mentoring junior researchers, and turning complex data into practical insights. In my current and past roles, I’ve built real-time fraud detection systems, recommender engines, and NLP pipelines that reduce manual work and improve decision making.…I'm Ahmad Khanlary, a senior data scientist with deep expertise in machine learning, NLP, and large language models. I design and deploy end-to-end AI solutions across finance, education, and technology sectors, delivering measurable business impact while maintaining privacy and ethics. I thrive on leading cross-functional teams, mentoring junior researchers, and turning complex data into practical insights. In my current and past roles, I’ve built real-time fraud detection systems, recommender engines, and NLP pipelines that reduce manual work and improve decision making.

Ahmad Khanlary

Data Scientist, AI Engineer, AI Developer, +4

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I'm Ahmad Khanlary, a senior data scientist with deep expertise in machine learning, NLP, and large language models. I design and deploy end-to-end AI solutions across finance, education, and technology sectors, delivering measurable business impact while maintaining privacy and ethics. I thrive on leading cross-functional teams, mentoring junior researchers, and turning complex data into practical insights. In my current and past roles, I’ve built real-time fraud detection systems, recommender engines, and NLP pipelines that reduce manual work and improve decision making.…I'm Ahmad Khanlary, a senior data scientist with deep expertise in machine learning, NLP, and large language models. I design and deploy end-to-end AI solutions across finance, education, and technology sectors, delivering measurable business impact while maintaining privacy and ethics. I thrive on leading cross-functional teams, mentoring junior researchers, and turning complex data into practical insights. In my current and past roles, I’ve built real-time fraud detection systems, recommender engines, and NLP pipelines that reduce manual work and improve decision making.

Available to hire

I’m Ahmad Khanlary, a senior data scientist with deep expertise in machine learning, NLP, and large language models. I design and deploy end-to-end AI solutions across finance, education, and technology sectors, delivering measurable business impact while maintaining privacy and ethics.

I thrive on leading cross-functional teams, mentoring junior researchers, and turning complex data into practical insights. In my current and past roles, I’ve built real-time fraud detection systems, recommender engines, and NLP pipelines that reduce manual work and improve decision making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Persian

Intermediate

Work Experience

Senior Data Scientist - Team Lead at Scotiabank

May 1, 2024 - Present

Led real-time credit card fraud detection using deep learning and autoencoders, minimizing false positives and enabling significant projected savings. Built privacy-preserving HR assistant using LLaMA-based RAG to deliver policy-grounded answers with confidence scoring and escalation for ambiguous queries. Automated HR ticket triage and developed end-to-end Document-ID Verification and Funding Package Validation systems, enabling substantial operational savings and faster resolutions.

Senior Data Scientist at Institute for Knowledge Innovation and Technology (IKIT) - University of Toronto

September 1, 2020 - May 1, 2024

Developed and implemented a deep learning model to predict student performance/failure using online learning activity data. Designed a deep learning-based recommendation system for online learning platforms, increasing course engagement by 25%. Built a GAN model for generating educational content (quizzes, practice problems, and summaries), reducing content creation time by 60%. Created an LLM-based feedback tool for online courses, reducing manual feedback effort by 50%. Developed an NLP-powered clustering pipeline with interactive visualizations and LL M-driven on-demand cluster summarization for deep insights. Supervised 10 graduate students and published peer-reviewed articles and conference papers in top-tier journals and conferences.

Data Scientist at Royal Bank of Canada (RBC)

January 1, 2020 - September 1, 2020

Created a neural network for incident prediction, reducing operational risks from technology changes by 25%. Designed and trained a feed-forward neural network to capture complex relationships between changes and incidents. Engineered an autoencoder-based anomaly detection system to identify high-risk changes, saving a projected $2M. Integrated the deep learning model into a pipeline for real-time anomaly detection and incident prevention. Used reinforcement learning to optimize the decision-making process for incident mitigation in response to changes.

Research Associate at University of Toronto

September 1, 2014 - December 31, 2019

Designed a recommendation system for personalized feedback in online learning environments. Created an emotion analysis model to detect and analyze learners' emotional states in online learning environments. Developed an intelligent tutoring system to provide personalized support based on detected emotions.