Anand Joseph
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Principal ML Engineer | ex-Meta, ex-Yahoo! | 15+ Years Driving AI Innovation from Architecture to Code
As a Principal Engineer at Walmart Global Tech with over three years of experience in the role and more than 15 years of professional expertise, I contribute to the development of scalable AI solutions. My work emphasizes deep learning, leveraging tools like tensorflow and advanced techniques in information retrieval to drive impactful results. Throughout my career, I have held engineering roles at leading organizations, including Facebook, Walmart, Yahoo!, and Paysa Inc., where I honed my skills in machine learning and software engineering. Dedicated to solving complex challenges, I aim to create innovative, efficient systems that address organizational needs and improve operational efficiency.
The Ohio State University
Master of Science, Computer Science
January 1, 2008 – January 1, 2010
PSG College of Technology
Bachelor of Engineering, Computer Science
January 1, 2004 – January 1, 2008
Walmart Global Tech
Principal Engineer
January 1, 2023 – Present
Machine Learning Engineer
September 1, 2019 – January 1, 2023
Indeed.com
Software Engineer
September 1, 2018 – September 1, 2019
Paysa Inc
AI Engineer
February 1, 2016 – August 1, 2018
San Francisco Bay Area
@WalmartLabs
Staff Software Engineer
July 1, 2012 – February 1, 2016
San Francisco Bay Area
Yahoo!
Software Development Engineer
January 1, 2011 – July 1, 2012
OCLC
Technical Intern
July 1, 2009 – March 1, 2010
The Ohio State University
Graduate Teaching Associate
September 1, 2008 – March 1, 2009
The Ohio State University
Graduate Student
September 1, 2008 – January 1, 2011
Hewlett-Packard Ltd, Bangalore
Software Development Intern
November 1, 2007 – June 1, 2008
Statistical Learning
Stanford University
June 24, 2026 – Present
Mining Massive Datasets
Stanford University
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked across various large and mid-sized tech companies, indicating adaptability to different corporate cultures. The progression through roles from Software Development Engineer to Principal Engineer and Machine Learning Engineer suggests a growth mindset. However, the lack of detailed project descriptions makes it difficult to assess specific contributions to team culture or alignment with specific organizational values. The target role is ML Engineer, and the candidate has direct experience in this area, which is a strong fit.
Soft Skills & Operational Fit
The candidate's resume indicates experience in teaching (Graduate Teaching Associate) and working in diverse team environments (various companies), suggesting potential for good communication and collaboration. However, without specific project descriptions or behavioral assessment data, a detailed evaluation of soft skills and operational fit is limited.