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,...