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AI/ML Consultant | NLP | Computer Vision | Kaggle Master
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced and results-driven Artificial Intelligence / Machine Learning (AI/ML) Engineer, with strong background in data analytics, advanced algorithm development and implementation. Effective ability to understand critical data, analyse and interpret. In recent years, leveraged my skills in Machine Learning to various products across several company platforms to drive business insights.
University of Birmingham
Master's degree, M. Phil Engineering
March 1, 1991 – October 1, 1994
University of Maiduguri
B. SC, Electrical and Electronics Engineering
N/A – Present
AI-Quix
Staff AI/ML Consultant
July 1, 2023 – Present
San Francisco Bay Area · Remote
Medallia
Staff AI/ML Engineer
December 1, 2020 – February 1, 2023
San Mateo County, California, United States · Remote
Simplr
AI/Machine Learning Engineer
January 1, 2017 – December 1, 2017
San Francisco Bay Area · On-site
Network Test Engineer
December 1, 2015 – December 1, 2016
Mountain House, Carlifornia · On-site
Copious Energy
Senior Systems Engineer
January 1, 2013 – January 1, 2015
Mountain House, Carlifornia · Remote
Deep Learning Specialization
DeepLearning.AI
June 24, 2026 – Present
Machine Learning
Stanford University
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
DeepLearning.AI
June 24, 2026 – Present
Sequence Models
DeepLearning.AI
June 24, 2026 – Present
Convolutional Neural Networks
DeepLearning.AI
June 24, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Structuring Machine Learning Projects
DeepLearning.AI
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse career path, transitioning from systems and network engineering to AI/ML. This demonstrates adaptability and a willingness to learn new domains. The experience at various companies (AI-Quix, Medallia, Simplr, Google) suggests exposure to different organizational cultures. However, the lack of project details makes it difficult to assess collaboration style or specific contributions to team environments.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in previous roles (e.g., 'Led a team of engineers' at Copious Energy) and experience in test plan design and execution at Google, suggesting strong operational capabilities and attention to detail. However, specific soft skill demonstrations are not explicitly detailed in the provided data.