Open to opportunities

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.

Experience

Work history, roles, and key accomplishments

Current

Senior Python | Machine Learning Engineer

Current

Fingent

Feb 2023 - Present (2 years 5 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 AWS Transcribe fastAPI AWS ECS Docker AWS ECR ZenML Airflow GDPR NLP Python Kubernetes Linux

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 RAG LLM Apache Kafka Docker Jenkins Prometheus Grafana Python Airflow GCS)Goldman Sachs

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 A B Testing Python Hadoop RESTful APIs NLP

Education

Degrees, certifications, and relevant coursework

University of Pennsylvania

Master's Degree, Computer Science

2015 - 2017

Pursued a Master's Degree in Computer Science, focusing on advanced concepts in algorithms, data structures, and software engineering. This program enhanced my technical expertise and prepared me for complex computational challenges.

University of Pennsylvania

Bachelor's Degree, Mathematics

2011 - 2015

Completed a Bachelor's Degree in Mathematics, gaining a strong foundation in analytical and problem-solving skills. The curriculum included advanced topics in algebra, calculus, and statistics.