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I am a 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. I am an expert in Python, PyTorch, TensorFlow, MLflow, Apache Kafka, and MLOps best practices deployment. I have a proven track record of boosting demand forecast accuracy by 22%, reducing incident resolution time by 25%, and driving 15% energy savings through closed loop control systems while ensuring GDPR and HIPAA compliance. With a Bachelor of Science in Computer Science from the University of Houston, I have led multiple AI/ML initiatives including large-scale energy management rollouts, telemetry analytics for motorsports, and observability integrations for real-time anomaly detection. My technical expertise extends to cloud computing on AWS, Google Cloud, and Azure, along with strong capabilities in CI/CD automation, monitoring, and system health management using Jenkins, Prometheus, and Grafana.…I am a 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. I am an expert in Python, PyTorch, TensorFlow, MLflow, Apache Kafka, and MLOps best practices deployment. I have a proven track record of boosting demand forecast accuracy by 22%, reducing incident resolution time by 25%, and driving 15% energy savings through closed loop control systems while ensuring GDPR and HIPAA compliance. With a Bachelor of Science in Computer Science from the University of Houston, I have led multiple AI/ML initiatives including large-scale energy management rollouts, telemetry analytics for motorsports, and observability integrations for real-time anomaly detection. My technical expertise extends to cloud computing on AWS, Google Cloud, and Azure, along with strong capabilities in CI/CD automation, monitoring, and system health management using Jenkins, Prometheus, and Grafana.

Kermit Troy Berry

AI Engineer, Data Scientist, AI Developer, +1

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I am a 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. I am an expert in Python, PyTorch, TensorFlow, MLflow, Apache Kafka, and MLOps best practices deployment. I have a proven track record of boosting demand forecast accuracy by 22%, reducing incident resolution time by 25%, and driving 15% energy savings through closed loop control systems while ensuring GDPR and HIPAA compliance. With a Bachelor of Science in Computer Science from the University of Houston, I have led multiple AI/ML initiatives including large-scale energy management rollouts, telemetry analytics for motorsports, and observability integrations for real-time anomaly detection. My technical expertise extends to cloud computing on AWS, Google Cloud, and Azure, along with strong capabilities in CI/CD automation, monitoring, and system health management using Jenkins, Prometheus, and Grafana.…I am a 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. I am an expert in Python, PyTorch, TensorFlow, MLflow, Apache Kafka, and MLOps best practices deployment. I have a proven track record of boosting demand forecast accuracy by 22%, reducing incident resolution time by 25%, and driving 15% energy savings through closed loop control systems while ensuring GDPR and HIPAA compliance. With a Bachelor of Science in Computer Science from the University of Houston, I have led multiple AI/ML initiatives including large-scale energy management rollouts, telemetry analytics for motorsports, and observability integrations for real-time anomaly detection. My technical expertise extends to cloud computing on AWS, Google Cloud, and Azure, along with strong capabilities in CI/CD automation, monitoring, and system health management using Jenkins, Prometheus, and Grafana.

Available to hire

I am a 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. I am an expert in Python, PyTorch, TensorFlow, MLflow, Apache Kafka, and MLOps best practices deployment. I have a proven track record of boosting demand forecast accuracy by 22%, reducing incident resolution time by 25%, and driving 15% energy savings through closed loop control systems while ensuring GDPR and HIPAA compliance.

With a Bachelor of Science in Computer Science from the University of Houston, I have led multiple AI/ML initiatives including large-scale energy management rollouts, telemetry analytics for motorsports, and observability integrations for real-time anomaly detection. My technical expertise extends to cloud computing on AWS, Google Cloud, and Azure, along with strong capabilities in CI/CD automation, monitoring, and system health management using Jenkins, Prometheus, and Grafana.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Senior AI/ML Engineer at C3.ai

July 1, 2022 - Present

Led phase 2 rollout of C3.ai Energy Management across 600 analytics modules. Developed and deployed closed loop HVAC control models using XGBoost, MLflow, and Python on Linux servers, delivering a 15% incremental energy savings uplift. Orchestrated high throughput Apache Kafka and MQTT pipelines ingesting 1M events. Built CI/CD workflows with Jenkins and C3 CLI automating versioning and validation, reducing deployment time by 60%. Monitored model drift and system health via Prometheus and Grafana, establishing proactive rollback procedures to maintain 99.9% uptime.

ML Software Engineer at Splunk

July 1, 2022 - September 4, 2025

Hybrid spearheaded Splunk Observability integration for McLaren Racing: designed 100kHz Open Telemetry ingestion pipelines and custom ITSI dashboards. Developed advanced SPL correlation searches to detect anomalies, reducing mean time to resolution by 25%. Extended Splunk Phantom playbooks with PyTorch NLP for structured log triage, boosting SOC throughput by 30%. Automated dashboard provisioning via Splunk RESTful API and Terraform ensuring staging/production consistency. Trained cross-functional teams on ML Toolkit and Observability best practices to democratize insights.

Machine Learning Engineer at Snowflake

March 1, 2020 - September 4, 2025

Partnered with IGS Energy to deploy Snowflake Cortex ML built MLOps pipelines and SQL-based feature engineering boosting demand forecast accuracy by 22%. Automated ETL/feature workflows with Streams & Tasks, halving model retraining latency. Tuned clustering keys and materialized views to accelerate queries by 40% without extra compute. Enforced production model deployments as RESTful APIs using Python and MLflow. Developed custom JavaScript and Python UDFs for anomaly detection and bespoke transformations.