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Vontario Taylor

@vontariotaylor

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AI Systems Architect and MLOps engineer delivering scalable GenAI platforms and production-ready AI.

United States

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What I'm looking for

I seek senior MLOps/AI systems roles building scalable, auditable GenAI infrastructure with strong CI/CD, monitoring, and privacy-compliant practices in collaborative, impact-driven teams.

I am an AI Systems Architect and MLOps engineer with 13+ years building scalable GenAI platforms, cloud-native ML pipelines, and production AI solutions across healthcare, finance, logistics, and travel.

I have led LLM and RAG deployments, agentic AI systems, and Teams-embedded assistants, cutting retrieval times by 50% and infrastructure costs by 20% through CI/CD automation and telemetry-driven optimization.

My technical expertise includes PyTorch, LangChain, Terraform, AWS, Azure, GCP, CUDA optimization, and distributed inference with Triton and NCCL, applied to problems like ASR/NMT, autonomous agents, and high-throughput real-time pipelines.

I prioritize reliable, auditable AI—implementing explainability, human-in-the-loop workflows, HIPAA/GDPR-compliant pipelines, and robust monitoring to deliver scalable, secure, and cost-effective AI systems for enterprise impact.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Intetics

Jul 2023 - Present (2 years 6 months)

Led design and deployment of agentic AI systems, RAG-based assistants, and scalable GenAI infrastructure, automating 60–70% of compliance workflows and cutting knowledge retrieval times by 50% while reducing costs through CI/CD automation.

Python PyTorch Azure GCP RAG Kubernetes Terraform CI CD

Senior Machine Learning Engineer

Sigma AI

Oct 2021 - Jun 2023 (1 year 8 months)

Led large-scale AI data annotation, multilingual transcription, and 3D model generation pipelines, improving labeling accuracy to 99.99% and reducing review time by 32% across multilingual projects.

PyTorch Hugging Face AWS Transcribe OpenCV Prometheus Docker Data Annotation Speaker Diarization

Machine Learning Engineer

Kensho Technologies

Jan 2018 - Sep 2021 (3 years 8 months)

Improved entity resolution and real-time financial event prediction, processing 3TB/day with <300ms latency and increasing forecast reliability by 15% for enterprise finance clients.

XGBoost Kafka Prometheus Docker NLP Entity Resolution CI CD

Machine Learning Engineer

TravelPerk

May 2014 - Dec 2017 (3 years 7 months)

Built personalization and dynamic pricing models for a corporate travel platform, boosting booking conversions by 18% and improving profit margins by 12% through demand-based forecasting.

Collaborative Filtering ARIMA Random Forest Flask AWS ECS PostgreSQL Recommendation Systems

Full-Stack Engineer

InvoZone

Aug 2011 - Apr 2014 (2 years 8 months)

Developed ETL pipelines, RESTful APIs, and database optimizations for travel and CRM clients, reducing data processing errors by 40% and API latency by 45%.

Python Django Apache Airflow MySQL Redis ETL API Development

Research Intern

Amazon.com

May 2010 - Jan 2011 (8 months)

Contributed to search relevance and web performance improvements, increasing search CTR by 12% and reducing mobile page load times by 35% through model and front-end optimizations.

Logistic Regression Python Hadoop A B Testing Data Analysis