Shashank Kedia — Machine Learning Engineer
I am a Staff Data Scientist at Walmart, specializing in application of AI and machine learning for recommendation personalization. I lead the development of advanced models that enhance user experiences, optimize business outcomes, and drive growth. My work spans recommendation systems, generative AI, and real-time optimization, with a focus on improving product discovery, user engagement, and sales. I have a strong passion for online learning, having developed models that enable real-time updates and adaptive recommendations at scale. With multiple patents and research papers published in top conferences, I explore cutting-edge techniques in dynamic systems, AI-driven decision-making and Generative AI. I am driven by the potential of AI to solve complex challenges and enjoy collaborating on projects that push the boundaries.
Stackforce AI infers this person is a Data Science expert specializing in AI-driven solutions for B2C applications.
Location: Sunnyvale, California, United States
Experience: 10 yrs 7 mos
Skills
- Data Science
- Machine Learning
Career Highlights
- Expert in AI and machine learning for recommendation systems.
- Published multiple patents and research papers in top conferences.
- Strong passion for online learning and adaptive recommendations.
Work Experience
Meta
Machine Learning Engineer (1 yr)
Walmart Global Tech
Staff Data Scientist (1 yr 1 mo)
Senior Data Scientist (1 yr 11 mos)
Data Scientist (2 yrs 10 mos)
University of Michigan
Graduate Student Instructor (8 mos)
Graduate Student (1 yr 8 mos)
Salesforce
Software Developer Intern (2 mos)
Goldman Sachs
Analyst - Data Strat (2 yrs 1 mo)
Education
Master of Science - MS at University of Michigan College of Engineering
Bachelor of Technology (B.Tech.) at Indian Institute of Technology, Delhi