Vijay Reddy
Machine Learning EngineerAI Expert | Investor
Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Expert | Investor
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Carnegie Mellon University
B.S., Computer Science
N/A – Present
Staff Machine Learning Engineer
May 1, 2023 – May 1, 2025
Head of Artificial Intelligence, Google Cloud Consulting
February 1, 2022 – May 1, 2023
Staff Machine Learning Engineer
September 1, 2019 – February 1, 2022
Machine Learning Instructor
April 1, 2018 – September 1, 2019
Machine Learning Specialist, Cloud Platform
January 1, 2017 – April 1, 2018
Solutions Engineer, Cloud Platform
February 1, 2016 – January 1, 2017
Bald Mountain Outfitters
Cowboy
July 1, 2015 – October 1, 2015
Pinedale, Wyoming
Ads Solutions Consultant
March 1, 2013 – April 1, 2015
NYC
Memento
Fraud Solution Consultant
June 1, 2010 – June 1, 2012
Burlington, MA
400 Mile Hike
July 1, 2012 – August 1, 2012
Completed a 40 day, 400 mile solo hike along the Appalachian Trial. I chronicled the journey, my motivations, and lessons learned here: https://vijaytrails.wordpress.com/category/appalachian-trail-hike/
Google Certified Professional Data Engineer
Google Cloud Certified
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Google Cloud Certified Professional Machine Learning Engineer
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive tenure at Google across various AI/ML-related roles, including leadership and instructional positions, suggests a strong fit for a high-performance, innovation-driven culture. Their experience in delivering solutions for Fortune 500 companies and mentoring teams indicates a collaborative and impact-oriented approach. The personal project and diverse past experiences (e.g., Cowboy) suggest a well-rounded individual with a broad perspective and a willingness to embrace challenges, which can contribute positively to team dynamics and cultural diversity.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentorship, and client engagement skills through their roles at Google, particularly as Head of AI Consulting and Staff ML Engineer. Their experience in developing curriculum and instructing suggests excellent communication and pedagogical abilities. The personal project (400 Mile Hike) indicates resilience, self-motivation, and a goal-oriented mindset. The 'Cowboy' role, while unconventional, suggests adaptability and hands-on problem-solving in diverse environments.