Teni Adeniran
Ai Ml Customer Engineer @Google
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WORK HISTORY
Ai Ml Customer Engineer @Google
Toronto, ON, CA
Technical Leadership: Lead technical advisor for Google’s top enterprise accounts; architected high-impact Proof-of-Concept (POC) solutions to demonstrate the feasibility of Vertex AI and Gemini for complex business needs. Strategic Solution Architecture: Designed end-to-end Gen AI reference architectures for major telecommunications clients, focusing on the technical validation of autonomous network optimization and Field Ops diagnostics. Technical Discovery & Qualification: Partnered with account executives to identify business opportunities and qualify requirements; developed the technical strategy to resolve architectural objections and overcome integration blockers. Rapid Prototyping: Developed and optimized Generative AI prototypes to demonstrate product value in live customer environments; recommended the infrastructure and best practices required for successful enterprise implementation. Product-Field Feedback Loop: Collaborated with Product Management and research teams to prioritize customer-requested features, ensuring Google Cloud’s Gen AI roadmap addressed real-world deployment challenges. Technical Enablement: Delivered specialized workshops on Generative AI, providing guidance on architecting scalable and secure solutions to ensure clients were equipped for production-level integration on GCP.
EDUCATION
University of Toronto
Bachelor's degree, Economics and Statistics
SKILLS
ABOUT TENI ADENIRAN
As a Tech Lead and AI/ML Customer Engineer at Google, I advise and enable large enterprises to leverage the cloud for their Analytics and AI/ML workloads. I plan and deliver successful customer engagements that require cross-functional collaboration and alignment with desired technical and business outcomes. I have helped build enterprise data platforms for some of Canada\'s largest companies, transforming siloed data units into end-to-end automated data pipelines that generate insights and value.I have over 10 years of experience in data science leadership, developing and deploying financially successful data products across various domains and industries. I have mentored, coached, and grown data science teams, empowering them to deliver innovative and scalable solutions that drive business growth and efficiency. I am passionate about solving complex problems with data and technology, and continuously learning and applying new skills and techniques.
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