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Staff Software Site Reliability Engineer @Credit Karma
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WORK HISTORY
Staff Software Site Reliability Engineer @Credit Karma
Oakland, CA, US
AI Infrastructure- Architected MCP Enterprise Infrastructure - Deployed secure, scalable infrastructure on Google Cloud GKE using Terraform with comprehensive authentication, access controls, and New Relic monitoring/alerting systems- Delivered Production-Ready MCP Servers - Released multiple MCP server integrations including GitHub, Fetch, BigQuery, and other enterprise connectors to streamline AI workflows- Build and deployed RayIO Distributed Computing Platform - Built high-performance training, fine-tuning, and model serving infrastructure on island GCP GKE clusters, enabling distributed processing across CPU/GPU hardware at scale- Code Agent platform Implementation - Guided team deployment of Sourcegraph as an AI code agent on GCP GKE, enhancing developer productivity and code understanding capabilitiesAnalytics Infrastructure- Build and own Credit Karma data infrastructure for Cloud Composer, Looker, and Coder at Google Cloud Infrastructure. The stories outlined here- Built a cost effective and scalable Orchestration engine infrastructure (> improved build time efficiency by 97%) around Cloud Composer/Apache Airflow for offline data transformation for 300+ developers. Lead many teams and defined patterns for data pipelines in Python and SQL across organizations- Delivered Data Science and Analytics Cloud based Development Infrastructure for Coder that allow 150+ end users to train Machine Learning Models in CPU and GPU to perform advanced data analytics on a day to day basis. This platform helped in improving user platform build time efficiency by 95%- Built highly robust scalable reporting Infrastructure in Looker that used by over large number of employees on day to day basis to make key business decisions- Embedded various automation patterns using CircleCI.Mentored other teams to expedite code deployment lifecycle
EDUCATION
Shivaji University
B.Tech, Electroncis
MIT Professional Education
Cloud & DevOps: Continuous Transformation
ABOUT HARISH GAGGAR
Building AI and analytics platforms that accelerate developer productivity, unlock scalable innovation, and deliver operational excellence- Experienced and result-focused leader with 20+ years of experience in implementing and managing IT infrastructure best practices and solutions for Fintech, manufacturing, and Technology sector companies- Delivered large scale on-premise Google Cloud Infrastructure solutions via HashiCorp Terraform (IaaC) at GKE Cluster and Compute Engines for AI and Data Infrastructure services- Built AI infrastructure for Enterprise MCP server, RayIO Cluster, SourceGraph(Cody) and Qodo- Built Orchestration engine infrastructure (Cloud Composer/Apache Airflow) for offline data transformation. Also, established patterns for data pipeline in Python & SQL across teams- Delivered Data Science/Analytics Cloud Development Infrastructure (Jupyterhub & Coder) that allow end users to train Models in CPU and GPU and perform advanced data analysis- Built highly scalable reporting Infrastructure like Looker, Tableau and SAP Business Objects for KPI dashboards- Established numerous CI/CD automation pipeline through CirlceCI- Delivered wide range of Docker Images from Python/R to Deep Learning- Embedded various automation at Linux- Excellent leadership qualities and the ability to motivate and lead the team to deliver exceptional results
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