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Davante Bonham

@davantebonham

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AI Systems Architect and MLOps Engineer with 8 years experience.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my skills in AI and MLOps to drive impactful projects and contribute to a forward-thinking team.

I am an AI Systems Architect and MLOps Engineer with over 8 years of experience in building scalable GenAI platforms and cloud-native ML pipelines. My expertise spans various industries, including healthcare, finance, logistics, and travel, where I have led significant AI innovations that have improved operational efficiency and reduced costs.

Throughout my career, I have successfully architected CI/CD pipelines, developed automated testing frameworks, and implemented real-time monitoring systems, achieving remarkable improvements in deployment times and model performance. My work on AI-driven solutions, such as multilingual conversational platforms and personalized recommender systems, has not only enhanced user engagement but also ensured compliance with industry standards like GDPR and HIPAA.

I am passionate about leveraging cutting-edge technologies to deliver production-ready AI solutions that drive business success. My commitment to continuous learning and innovation enables me to stay at the forefront of the rapidly evolving AI landscape.

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Experience

Work history, roles, and key accomplishments

Current

Senior Python | Machine Learning Engineer

Current

Fingent

Feb 2023 - Present (2 years 9 months)

Architected CI/CD pipelines using Jenkins, GitLab CI/CD, and MLflow, automating model deployment workflows and reducing deployment time by 30%. Optimized cloud infrastructure with Terraform on AWS and Azure, enabling scalability for a 50% workload increase and reducing cloud costs by 20%.

Senior Machine Learning Engineer

Sigma AI

Nov 2021 - Jan 2023 (1 year 2 months)

Led AI-driven annotation projects, improving data labeling accuracy to 99.99% using Hugging Face Transformers, PyTorch, and OpenCV. Built transcription pipelines using AWS Transcribe and PyTorch, processing 2,000 hours of video across 24 languages and dialects with 100% post-review accuracy.

PyTorch OpenCV Prometheus Grafana

Machine Learning Engineer

Kensho Technologies

Jun 2018 - Oct 2021 (3 years 4 months)

Enhanced Kensho Link, an ML-based entity resolution service, by integrating S&P Global’s Business Entity Cross Reference Service (BECRS) dataset, improving entity mapping accuracy by 20%. Developed Gradient Boosting (XGBoost) models for Kensho’s Global Event Database, predicting asset price movements and increasing forecast reliability by 15%.

NLP Random Forest XGBoost

Research Intern

Amazon.com

Oct 2017 - Apr 2018 (6 months)

Contributed to Amazon’s search ranking algorithms by implementing logistic regression models for keyword relevance analysis, improving organic search result click-through rates by 12%. Refactored HTML, CSS, and JavaScript for product pages, reducing mobile page load times by 35%.

Logistic Regression HTML CSS JavaScript