01
AI Engineer Lead
Owned the MCP and copilot integrations, reporting directly to the client CTO to maintain architectural direction.
Scientific Data Platform
Turn experiments into reproducible intelligence
Codify experiments, pipelines, and results in one governed foundation for trusted science, reusable assets, and AI-ready research workflows.
Workflow validated
Inputs linked
Dataset published
+1
Inputs linked
Workflow validated
Outcomes
One pod.Five specialists.Shipped two quartersearly.
DATASCIENCE
0Q
Ahead of roadmap. AI copilot integration shipped Q1 when the original plan had it landing Q3 two full quarters of velocity reclaimed.
Engineers embedded
0 roles
“One accountable team, five specialist roles: AI Engineer, DevOps, Backend, Frontend, and PM all embedded, all reporting to one team lead.”
SOC2-ready by default
0%
Every feature delivered with SOC2 controls baked in from day one. No retrofitting, no compliance debt left for the client to clean up.
Full-stack coverage
0 specialists
AI + DevOps + Backend + Frontend + PM. Every function covered by a dedicated specialist, not a generalist stretched thin.
AI Copilot & MCP Orchestration
Architecting Model Context Protocol integrations and agentic development assistants to scale production velocity.
DataJoint01 / 04
Kubernetes & Cloud-Native DevOps
Engineering multi-region Kubernetes clusters and automated pipelines under programmatic infrastructure blueprints.
DataJoint02 / 04
Databricks Lakehouse Integration
Configuring robust Databricks pipelines and unified architectures to handle large-scale workflow automation data.
DataJoint03 / 04
SOC2-Compliant Backend Security
Hardening distributed backend architectures to maintain rigid data isolation and end-to-end compliance bars.
DataJoint04 / 04
The stack we shipped on.
Python
React / TypeScript
Kubernetes
AWS
Databricks
MCP Copilot
CI/CD
SOC2
The squad
Managed Pod
AI Engineering LeadReports to DataJoint CTO
DevOpsK8s · AWS · CI/CD
FrontendReact · TypeScript
BackendPython · Databricks
Project ManagerSprints · Velocity
One pod, five roles, one team lead.
02
DevOps
Managed the cloud environment using Kubernetes, AWS infrastructure, automated CI/CD pipelines, and a full-stack observability setup.
03
Backend
Engineered Python core services, managed the Databricks lakehouse integration, and baked SOC2 compliance controls into the code from day one.
04
Frontend
Shipped a high-performance React and TypeScript UX refresh with modular component design and seamless API integration.
05
Project Manager
Maintained sprint cadence, async-first communications, and weekly velocity reporting to the client CTO.
1 / 2
What DataJoint said.
Agilyti embedded seamlessly they owned delivery, hit every compliance bar, and shipped the AI roadmap faster than we thought possible.
Matthew Weitzel
Principal Software Engineer · DataJoint
