Berry
Building end‑to‑end AI pipelines with Python, TensorFlow, PyTorch, and Scikit‑Learn containerized in Docker and orchestrated with Kubernetes.
Hi, I’m Kermit Troy Berry.
I’ve been engineering scalable AI/ML pipelines since 2017, specializing in deep learning model training, MLOps automation, and production deployments with Docker, Kubernetes, and MLflow.
My end‑to‑end solutions from demand forecasting systems to real‑time telemetry ingestion help turn complex data into actionable insights at scale.
Strategic Senior Machine Learning Engineer with over six years of experience architecting and deploying scalable AI/ML solutions across Snowflake, Splunk, and C3.ai platforms. Expert in Python, PyTorch, TensorFlow, MLflow, Apache Kafka, and MLOps best practices (Docker, Kubernetes, Jenkins, CI/CD), delivering end to end pipelines from real time data ingestion to RESTful model deployment. Proven track record boosting demand forecast accuracy by 22%, reducing incident resolution time by 25%, and driving 15% energy savings through closed loop control systems all while ensuring GDPR and HIPAA compliance. Holds a B.S. in Computer Science from the University of Houston (2018) and has mentored junior engineers on enterprise-grade MLOps workflows.
Modern and mobile-ready website that will help you reach all of your marketing.
Music copying, writing, creating, transcription and composition services.
Advertising services include television, radio, print, mail, and web apps.
Developing memorable and unique mobile android, ios and video games.
IGS Energy partnered with Snowflake to overhaul its legacy forecasting system, consolidating hundreds of siloed models into a unified, in-database Snowpark ML pipeline. Kermit Troy Berry led the AI engineering, delivering accurate, automated forecasts that supported real-time operational decisions.
McLaren Racing adopted Splunk Observability Cloud to ingest and visualize high speed telemetry data from race cars. Kermit Troy Berry architected the solution, ensuring sub second insights for live track decision support.
ENGIE partnered with C3.ai to deploy an AI powered Energy Management system across hundreds of facilities. Kermit Troy Berry led Phase 2, scaling the rollout and delivering significant energy efficiency gains.