Education
Michigan State University (Unknown - Present)
- Degree: Doctor of Philosophy (PhD)
- Field of Study: Computer Science
- Description: Applied Machine Learning, on-device Deep Learning Projects: ORBIT, VolcanoSRI, Deep-Partition o Challenges: Machine learning and single processing algorithms are computationally intensive for mobile and embedded systems. o Solution: Optimized the execution of machine learning and signal processing pipelines for on-device executions. Built systems and platforms to be a generic for variety mobile sensing/computing and on-device machine learning problem. Built novel partitioning algorithm to partition the machine learning pipeline between the phone and the cloud back-end for efficient deployment. o Achievements: Several conference and journal papers published and a few of the works are patented.
Stanford University Graduate School of Business (Unknown - Present)
- Degree: Executive Education
- Field of Study: Stanford IGNITE program
- Description:
Michigan State University (Unknown - Present)
- Degree: Master's degree
- Field of Study: Computer Science
- Description: Emphasis: Software design, machine learning, pattern recognition, data mining, artificial intelligence, sensor design, and wireless sensor networks. Final Project: A supervised-learning system for processing brainwave signals (EEG) to control robotic devices. Coursework: Information Theory, Data Mining, Probability & Statistics Theory, Stochastic Processes, Information Theory, Machine Learning, Data Compression (attended), Pattern Recognition
Skills:
Gen AI, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Large Language Model Operations (LLMOps)
Work Experience:
Director of AI at Walmart Global Tech
- Location:
- Duration: 2025 to Present
- Description:
Director- AI/ML - Seller Success/Growth at Coupang
- Location: Mountain View, California, United States
- Duration: 2022 to 2024
- Description: • Led a team at Coupang to implement cutting-edge AI solutions, driving strategic decisions and enhancing customer experiences. • Utilized data science and machine learning to set new benchmarks in product development and operational efficiency. • Achieved revolutionary eCommerce solutions resulting in significant business outcomes and improved customer satisfaction.
Sr. Engineering Manager | Head of Machine Learning at Mercari US
- Location: United States
- Duration: 2019-07 to 2022-09
- Description: My tenure at Mercari as Sr. Engineering Manager ingrained in me a deep commitment to pioneering machine learning advancements. There, we crafted cutting-edge eCommerce tools, enhancing user engagement and platform functionality. This fuels my current mission at Coupang: to deliver data-driven insights that propel the company forward, while fostering an environment where technology and creativity intersect to redefine the online shopping landscape.
Staff Machine Learning Engineer and Engineering/Research Lead at Samsung Electronics
- Location: Mountain View
- Duration: 2015-01 to 2019-07
- Description: NLP and Speech Recognition System Machine Learning Pipeline Design Machine Learning with noisy data
Ph.D Research Intern at Fujitsu Americas
- Location: Sunnyvale, California
- Duration: 2014-05 to 2015-04
- Description: Applied ML for IoT applications
Candidate Intelligence Report
AI-powered analysis from the perspective of a US hiring director — evaluating career continuity, growth trajectory, and role fit.
Career Continuity & Risk Assessment
Overall career shows continuous progression with typical tech/AI leadership roles; only a potential minor gap between Coupang (2024) and Walmart (2025) that is within normal recruitment cycles.
Industry consistency is solid across AI-enabled consumer/retail platforms (Samsung, Mercari, Coupang, Walmart) with occasional shifts into adjacent tech domains; tenure stability is within standard ranges (3–4 years per major employer).
Tenure stability is generally strong for senior roles; no extended gaps over multi-year periods that would raise red flags for leadership candidates.
Education-Career Match carries some ambiguity due to the listed institution (Michigan State University) without explicit degree details; however, the presence of a Ph.D. research internship suggests advanced study aligned with AI leadership.
Career Growth Curve
Best-Fit Roles (Top 5)
Vice President of Artificial Intelligence (AI) – Global Retail / Marketplace98% fit
Proven track record building and scaling AI organizations across major retail tech platforms; strong leadership in LLM/LLMOps and AI products with measurable business impact.
Chief AI Officer (CAIO) / Head of AI Platform & ML Ops93% fit
Experience across AI platform development, operations, and governance; deep knowledge of LLMs, RAG, and multi-disciplinary teams; suitable for enterprise-wide AI strategy.
Vice President / Director of AI Platform & Data Science89% fit
Strong track record leading ML platform initiatives, cross-functional collaboration; aligns with scaling AI services for products and operations.
Head of Applied AI – eCommerce / Marketplace82% fit
Industry-experienced leader focused on applying AI to improve customer experience and operations in marketplaces.
Senior Director of AI & ML Product76% fit
Product-focused leadership blending ML research with product development; matches senior-level responsibilities in AI product portfolios.
Related Sourcing Channels
Groups and Events where you can find more candidates with similar skills and background.
Experience AI Recruiter
$0 to start. Don't let your competitors get the AI advantage first.
Join over 10,000 companies using AI-driven recruitment solutions to automate your hiring process and save 80% in time costs.
24/7 automated operation
AI-powered candidate screening
Recruitment without geographical or time zone limitations
Personalized intelligent communication
Automated assessment of candidate engagement
Intelligently mimics and replicates your recruitment style
4-month money-back guarantee
Ensures LinkedIn account security
©Strategybrain Technology Ltd.
info@strategybrain.ca