Resume

Applied AI/ML and Analytics Leader with 15+ years of experience spanning academic research, startups, and Fortune 500 companies. PhD from University of Alberta, MBA from MIT Sloan. Currently leading transformative AI/ML initiatives at JPMorgan Chase.

Education

  • MBA, MIT Sloan School of Management, USA
  • PhD in Computing Science, University of Alberta, Canada
  • MSc in Software Engineering and Intelligent Systems, University of Alberta, Canada

Skills

Strategic Leadership & Innovation

  • AI/ML Strategy Development
  • Cross-functional Team Leadership
  • Product Innovation & Lifecycle Management
  • Change Management & Transformation

Technical Expertise

  • Advanced Machine Learning & Deep Learning
  • LLM Architectures
  • End-to-End AI Model Deployment
  • Model Monitoring & Optimization

GenAI & LLM Tooling

  • Hugging Face Transformers
  • LangChain, LlamaIndex
  • RAG (Retrieval-Augmented Generation)
  • Vector Databases (FAISS)
  • Fine-tuning & LoRA

ML Frameworks

  • TensorFlow
  • PyTorch
  • scikit-learn

Programming & Tools

  • Python, Java, C++, R
  • Apache Spark, Apache Airflow
  • Hadoop (Hive, HBase)

Cloud Platforms

  • Google Cloud Platform (GCP)
  • Amazon Web Services (AWS)
  • Microsoft Azure

MLOps & DevOps

  • CI/CD Pipelines
  • Model Versioning
  • Experiment Tracking
  • Feature Stores

Business Intelligence

  • Tableau
  • Power BI
  • Data Visualization

Work Experience

Global Head of Applied AI/ML

JPMorgan Chase Technology | 2024 – Present

Leading AI/ML initiatives across Corporate Technology for Financial Crime, Legal and Resiliency. Developing scalable, responsible AI strategies aligned with organizational objectives.

Head of Customer Intelligence and Optimization

JPMorgan Chase Wealth Management | 2020 – 2024

Led customer analytics and optimization initiatives, developing AI-driven solutions that enhanced client experiences and business outcomes across wealth management operations.

Director of Data Science

Manulife John Hancock | 2017 – 2020

Built and led data science capabilities, transforming customer intelligence and business operations through advanced analytics and machine learning solutions.

Data Science Manager

City of Edmonton | 2015 – 2017

Managed data science initiatives for municipal operations, applying advanced analytics to improve efficiency and citizen services.

Quant (Fellowship)

Freethink Capital Hedge Fund | 2013

Applied quantitative methods and machine learning to financial modeling and trading strategies.

Data Scientist

Alberta Machine Intelligence Institute (Amii) | 2010 – 2015

Conducted cutting-edge research and development in machine learning and artificial intelligence applications.

Senior Systems Analyst

Information Services and Technologies, University of Alberta | 2009 – 2010

Systems Analyst

IBM | 2008 – 2009

Publications and Talks

Selected Publications

Sentiment Analysis on Twitter to Improve Time Series Contextual Anomaly Detection for Detecting Stock Market Manipulation
Golmohammadi K., Zaiane O. | 19th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2017), France
Time Series Contextual Anomaly Detection for Detecting Market Manipulation in Stock Market
Golmohammadi K., Zaiane O. | IEEE International Conference on Data Science and Advanced Analytics (DSAA 2015), France
Detecting Stock Market Manipulation using Supervised Learning Algorithms
Golmohammadi K., Zaiane O., Diaz D. | IEEE International Conference on Data Science and Advanced Analytics (DSAA 2014), China
Data Mining Applications for Fraud Detection in Securities Market
Golmohammadi K., Zaiane O. | European Intelligence and Security Informatics Conference (EISIC 2012), Denmark
Learning Actions in Complex Software Systems
Golmohammadi K., Smit M., Zaiane O. | 13th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2011), France

Selected Talks

Disruptive Machine Learning Applications in Insurance and Banking
Toronto Machine Learning Summit, Canada, July 2019
Application of Machine Learning and Big Data to Improve Efficiency of Municipal Operations
Intelligent Cities Summit: IoT, Big Data for Municipalities, Toronto, Canada, November 2016
Alberta Open Data Summit
Edmonton, Canada, October 2016
Open City and Advanced Analytics
Ignite Edmonton Festival, Edmonton, Canada, September 2015

Awards and Honors

  • Mitacs Accelerate Award, 2013
  • University of Alberta President's Doctoral Prize of Distinction, 2011
  • Alberta Innovates Graduate Student Scholarship (AITF), 2011
  • Natural Science and Engineering Research Council (NSERC) of Canada Graduate Scholarship, 2011
  • THECIS Innovation Scholarship, 2010
  • Top 5% of doctoral students in Canada, CIHR Research Poster Competition, 2010
  • President of the University of Alberta ECE Graduate Student Association (ECEGSA), 2008
  • Mary Louise Imrie Graduate Student Award, University of Alberta, 2008
  • National Students Scientific Achievement Award, Iran, 2007
  • RoboCup 2006, Germany - Ranked 11th, 2006

Teaching Experience

Lecturer, Artificial Intelligence

University of Alberta, Canada | Winter 2011

Teaching Assistant, Java Programming

University of Alberta, Canada | Winter 2011

Teaching Assistant, C++ Programming

University of Alberta, Canada | Winter 2009

Teaching Assistant, Introduction to Microprocessors and Assembly Language

University of Alberta, Canada | 2008 and 2009