Sunapee, New Hampshire, United States
My lifelong passion for problem-solving finds its expression in my work as a Data Engineer at Demandbase. Bolstered by a strong foundation in Mathematics and Physics, I've spent 5 years as a professional software engineer gaining expertise across a broad range of challenges in distributed computing, functional programming, and data engineering, mastering the tools necessary to build and scale distributed systems. I enjoy working with others, sharing what I know, and learning from their experiences to solve problems together. I believe in taking responsibility for my work, seeing projects through from start to finish, and making sure they make a difference. Outside of work, my partner and I have been exploring the country with our dog for the past couple years and now are back home to help out with some personal family matters. In my free time, I'm a competitive boulderer and online chess player.
As a Data Engineer II at Demandbase, I bridge the gap between traditional distributed systems and the emerging world of AI Agents. My core focus is evolving our data platform—migrating from standard pipelines to robust architectures that support scalable Agentic Development. Key Achievements: Pioneered MCP Implementation: Built and deployed a Model Context Protocol (MCP) Server for our RESTful APIs from scratch, moving from zero infrastructure to production in under a month. AI-Ready Infrastructure: Architected and deployed EKS clusters with Istio service meshes to facilitate secure, cross-cluster communication for AI agents. Agent Integration: Leading design efforts to integrate MCP Servers with microservices via an MCP gateway, enabling our AI agents to interact directly with core business logic. Core Engineering: Optimized Airflow, BigQuery, and Spark pipelines to calculate Intent for the Buyer Engagement Team, while leading "shift left" initiatives to modernize our CI/CD workflows (GitLab-CI, Terraform). I operate at the intersection of Data Engineering, DevOps, and Software Engineering, building the rails for the next generation of intelligent systems.
I worked as a backend software engineer on the Computational Knowledge Graph (Maana) project. My focus was on distributed computing and functional programming in Scala, but I also used NodeJs, Rust, Azure, and Docker Swarm on WSL2.
I worked as a core Data Platform Engineer on the Harmony project. We are building a platform to automate the creation and deployment of data pipelines. Recently, I have begun developing an MLOps platform as part of Harmony. My focus is on designing distributed systems, functional programming, and cloud computing with Scala, Spark, AWS, and Kubernetes.
I'm a Data Engineering consultant with a focus on cloud computing, big data, and functional programming. I am employed full time by Knoldus. Currently, I am consulting with HPE through Knoldus. Previously, I was Consulting with HEB, also through Knoldus.
Using Scala and Spark to build and enhance a sales forecasting pipeline as part of a team of consultants from Knoldus.