Principal Engineer
Philadelphia, Pa, Us
I was the SRE and MLOps Technical Lead for our internal shared and managed services team. My team provided Observability, Analytics, and Machine Learning as a Service to 40+ product teams at Comcast. Our platforms (Elastic Stack/ELK, Hadoop, and Splunk) processed over 5 billion+ transactions daily. The services my team provided helped Comcast's product teams gain key insights, predict trends, improve the customer's experience, and focus on their core competencies. I worked closely with internal stakeholders to solution and build business cases for software procurement. I also worked with internal stakeholders to understand their challenges and data to help them decide which analytics and machine learning platform best suited their use cases. Some of the Comcast product teams I supported:- Comcast xFi- UBB (usage-based billing)- xFinity Wi-Fi- Edge SDN Virtual Services Gateway- Residential email- Next-generation voicemail - OTT (over the top media services)- SD-WANSome of the software I worked with:- Kubernetes (OpenShift V3, DIY K8s, AWS EKS, Rancher) - AWS (S3, Sagemaker, EC2, Cloud Watch, EC2, EMR, RDS, MWAA, Route 53, security, IAM policies)- Elasticsearch, Logstash, Kibana (also Elastic Cloud Enterprise/ECE)- VMware, OpenStack- Ansible, Puppet - MLFlow, Kubeflow, Seldon Core- Databricks- Concourse, Jenkins- Apache Kafka/Zookeeper- HashiCorp Vault & Terraform- Cassandra, MongoDB, MySQL, PostgreSQL