Senior AI/ML Infrastructure Architect and MLOps Engineer with 13+ years designing, deploying, and optimizing scalable hybrid cloud and on-prem AI platforms. Expert in AI/ML SecOps, Retrieval-Augmented Generation (RAG) systems, vector databases, and building custom LLM solutions using Python, Rust, and C++. Proven leader in MLOps transformations that deliver faster deployments, high uptime, and significant performance gains. Spanish-proficient with prior solo travel experience and an established Brazil visa, I’m excited to collaborate closely with LATAM teams through remote work and occasional in-person offsites to build strong, mutually rewarding partnerships.
Primary role: Architecting and deploying the AI, ML, and shared product offerings here at Naturally Artificial. It is a mix of bare-metal LLM deployments and other containerized front-end applications and APIs. I also work with our partner organizations — Smithfield St. Reporting and Pittsburgh Telemetries — for cloud-hosting their clients’ data and analytics, as well as PGHTele’s custom operating systems for their embedded edge AI compute.
Lead a team of 4 engineers in PNC Center of Automation. Working on various AI and Data science projects. The general theme of all our projects where working with differnt busniss units at PNC, and providing AI and Data Analytics on their existing data, or with the required modifications.
Containerized docker pipeline implmentations and maintainance. Early AI pipline development in Jenkins and other custom built tools for enterprise deployments.
Principal build engineer for SalesVision Data reporting application Developing and maintaining Python QA and Production deployment scripts and applications including leveraging Web2py and Django frameworks Jenkins project set up for automation of builds and deployments Directed planning, design and implementation of new infrastructure tools for the contiguous
Primary responsibility was as a Java /Oracle developer for the Clinical Trials Management Application (CTMA)
Primary Skills: Java,Python.NET C#/vb.net,speech recognition, Oracle, Sql server, Jira, Confluence, Jenkins, Hudson,Visio, SVN, CVS, Mecurial, Ivy Support M*Modal product integrations into existing customer transcription using Java, Python and .Net Designed, developed and maintained an ASP.net application, JobCannon job testing tools Flexible configuration testing tools in Python and C# for different scenarios of speech recognition operations jobs. I deployed JobCannon on IIS and set up and maintain the IIS server where this tool and other similar tools I created are hosted. In addition I updated documentation of the changes and maintain user integration guides in python, C#, C++, Java,