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AI/ML Lead | AI Innovator | FinTech
A dynamic and versatile analytics leader with a robust background in machine learning, business leadership, and engineering. With extensive experience at Honeywell, I have led multifaceted projects across various industries, pioneering advanced analytics solutions and championing data-driven decision-making. My blend of technical prowess, business acumen, and a proven track record of innovation is evidenced by 6 patents, over 15 peer-reviewed publications, and a passion for designing and delivering high-value, customer-centric solutions.
Harvard University
Visiting Scholar, AI and GPU Cloud Computing
N/A – Present
The University of Georgia
Doctor of Philosophy (Ph.D.), Computer Science
N/A – Present
Amirkabir University of Technology - Tehran Polytechnic
Master's degree, Biomedical/Medical Engineering
N/A – Present
phData
Data Science Solution Lead
January 1, 2025 – Present
Atlanta, Georgia, United States
Prime Intuition
Founder and Principal Consultant
November 1, 2023 – Present
Atlanta, Georgia, United States
Honeywell
Director of Analytics / Principal
January 1, 2022 – January 1, 2023
On-site
Honeywell
Lead Data Scientist / Engagement Lead
January 1, 2020 – January 1, 2022
On-site
Honeywell
Senior Data Scientist
January 1, 2018 – January 1, 2020
On-site
NueMD
Advanced Business Data Analyst
January 1, 2013 – January 1, 2014
Marietta, Ga, USA.
The University of Georgia
Senior Researcher
January 1, 2012 – January 1, 2018
Cortical Architecture Imaging and Discovery (CAID) lab
NID Co
Chief Executive Officer
January 1, 2009 – January 1, 2012
TNT ltd.
Board Member / New Product Initiative
January 1, 2008 – January 1, 2009
Royan Stem Cell Technology Co.
Information Technology staff and Product Manager
January 1, 2007 – January 1, 2009
Fast and Scalable Cloud-based Distributed GPU processing framework for deep learning
April 1, 2017 – October 1, 2017
I have developed a novel distributed GPU processings framework for implementing a deep convolutional neural network autoencoder model using Spark and Tensorflow. This platform is able to learn meaningful patterns from very large datasets with millions of fMRI time series
Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis
November 1, 2015 – October 1, 2016
In this work, we propose a novel distributed rank-1 dictionary learning (D-r1DL) model and apply it for fMRI big data analysis. The model estimates one rank-1 basis vector with sparsity constraint on its loading coefficient from the input data at each learning step through alternating least squares updates. By iteratively learning the rank-1 basis and deflating the input data at each step, the model is then capable of decomposing the whole set of functional networks. We implement and parallelize the rank-1 dictionary learning algorithm using Spark engine and deployed the resilient distributed dataset (RDDs) abstracts for the data distribution and operations.
Largescale platform for neuroimaging informatics
May 1, 2015 – November 1, 2015
The main goal of this project was to implement a comprehensive informatics platform for storing, processing and visualizing BigData fMRI analytics.
Databricks Certified Generative AI Engineer Associate
Databricks
June 24, 2026 – Present
Databricks Certified Machine Learning Associate
Databricks
June 24, 2026 – Present
Communication Skills for Modern Management
June 24, 2026 – Present
Generative AI
DeepLearning.AI
June 24, 2026 – Present
Sequence Models
DeepLearning.AI
June 24, 2026 – Present
Natural Language Processing in TensorFlow
DeepLearning.AI
June 24, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Product Management and Marketing - PMC Level VI
Pragmatic Institute
June 24, 2026 – Present
Data Science Program Graduate
The Data Incubator
June 24, 2026 – Present
Cisco Certified Network Associate: Security
Cisco
June 24, 2026 – Present
Microsoft Certified Systems Engineer: Security
Microsoft
June 24, 2026 – Present
Microsoft Certified IT Professional: Enterprise Administrator
Microsoft
June 24, 2026 – Present
Business skills and entrepreneurship
Pease International
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from academic research in neuroimaging to industrial applications in aerospace and fintech, demonstrates adaptability and a broad interest in applying ML across different domains. Their leadership roles and entrepreneurial experience suggest a proactive, innovative, and results-oriented mindset. The certifications in Generative AI and Machine Learning further indicate a commitment to continuous learning and staying current with industry trends, which aligns well with a dynamic, growth-oriented culture.
Soft Skills & Operational Fit
The candidate's experience as a 'Director of Analytics / Principal' and 'Lead Data Scientist / Engagement Lead' at Honeywell, along with founding 'Prime Intuition', indicates strong leadership, strategic thinking, and cross-functional collaboration skills. The descriptions highlight the ability to shape analytics strategy, present complex analyses to executives, and lead digital transformation initiatives. These experiences suggest a strong operational fit for roles requiring both technical depth and strategic influence.