John
Backend 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
VP, AI & ML | AI Strategy & Execution | Discriminative AI | Generative AI | Machine Learning Leader | Startups to Fortune 500
As a leader in AI and ML with 15+ years of experience, I specialize in transforming innovative ideas into business value through data science, machine learning, and now, generative AI. Throughout my journey—from startups to Fortune 500 companies—I’ve led AI transformations, built high-impact teams, and launched ML models that improved revenue, customer retention, and operational efficiency. I thrive at the intersection of tech and business, helping stakeholders—from engineers to execs—embrace AI with clarity and confidence. Key strengths: ✔ AI & ML Strategy and Execution ✔ Discriminative AI Implementation ✔ Generative AI Implementation ✔ Workflow Automation using Agentic AI ✔ Recommender Systems & NLP ✔ MLOps, Cloud, Data Analytics ✔ Cross-functional and global team leadership ✔ Executive Communication & Stakeholder Alignment Let’s connect if you're passionate about AI shaping the future of products, platforms, and people.
Indiana State University
Master's degree, Electronics and Computer Technology
N/A – Present
Stealth-mode StartUp company
VP, AI and ML
September 1, 2023 – Present
San Francisco Bay Area
Thermo Fisher Scientific
Data Science Leader
August 1, 2021 – August 1, 2023
San Francisco Bay Area · Hybrid
Task Rabbit / IKEA
Director of Data Science
January 1, 2019 – September 1, 2019
San Francisco
Accenture AI
AI and ML Leadership
January 1, 2018 – January 1, 2019
San Francisco Bay Area
DEBRITT SYSTEMS, LLC
VP, Data Science (Machine Learning and AI)
January 1, 2016 – July 1, 2018
Cisco Systems
Senior Engineering Manager
January 1, 2012 – November 1, 2015
Cisco Systems
Software and Program Manager, Software Development
January 1, 2006 – January 1, 2012
Cisco Systems
Manager, Software Development
January 1, 2000 – January 1, 2005
Asyst Technologies
Project Lead
January 1, 1996 – January 1, 1999
General Motors and Cummins Engine company
Software Engineer
January 1, 1992 – January 1, 1996
Machine Learning
Stanford University
June 24, 2026 – Present
R Programming
The Johns Hopkins University
June 24, 2026 – Present
The Data Scientist’s Toolbox
The Johns Hopkins University
June 24, 2026 – Present
Getting and Cleaning Data
The Johns Hopkins University
June 24, 2026 – Present
Exploratory Data Analysis
The Johns Hopkins University
June 24, 2026 – Present
Certified ScrumMaster
Scrum Alliance
June 24, 2026 – Present
Introduction to Big Data
UC San Diego
June 24, 2026 – Present
Introduction to Big Data Analytics
UC San Diego
June 24, 2026 – Present
Hadoop Platform and Application Framework
UC San Diego
June 24, 2026 – Present
Building a Data Science Team
The Johns Hopkins University
June 24, 2026 – Present
A Crash Course in Data Science
The Johns Hopkins University
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning various industries (startups, life sciences, e-commerce, consulting, automotive, networking) and roles from software engineer to VP of AI/ML. This breadth indicates adaptability and a willingness to tackle different challenges. However, the target role is 'Backend Engineer', which is a significant shift from their recent leadership and data science focus. While their early career involved software engineering, the majority of their recent experience is in AI/ML strategy and data science leadership, which may not directly align with the day-to-day responsibilities of a backend engineering role. This could indicate a potential mismatch in current career trajectory and the specific technical depth required for a hands-on backend engineering position.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentorship, and cross-functional collaboration skills, evidenced by leading globally distributed teams and partnering with various stakeholders. Their experience in setting expectations and managing project execution suggests strong operational fit for senior roles. The focus on data-driven growth and strategic leadership aligns well with high-impact positions.