Dual Citizen (US/DE) · Physicist · Berlin

Physicist. Engineer. Builder.

Doctoral research in condensed matter physics. A decade building at Uber and HERE Technologies. Now shipping AI infrastructure and iOS apps from Berlin. This is the person behind the work — the résumé line is only part of it.

Physicist / Staff Engineer / Founder / Berliner

Looking to work together professionally? westover.expert has the engagement details.

15+
Years in production systems
10M+
Req/sec, production scale at Uber
14x
Team built at HERE (2 to 14)
2
Peer-reviewed physics papers

More than a résumé line.

Three facets, one person. Each shaped the other two more than any of them show on their own.

01

Physicist

Doctoral research in condensed matter physics and quantum chemistry at the University of Central Florida (ABD), two peer-reviewed papers, and a few years teaching physics before I was ever in front of a server rack.

02

Engineer

A decade of engineering at Uber and HERE Technologies — where I built the craft: navigation infrastructure, autonomous-driving capture systems, and the platform-team habits that came home with me.

03

Builder

Founder of Westover Labs, building an autonomous AI agent team and two live iOS apps from Berlin. My family's history in this city runs back to before the Wall came down.


Range, not just credentials.

Doctoral research in physics, an MBA, ten years of engineering at Uber and HERE Technologies. But what actually matters is what got built. From an early solo contract to navigation infrastructure serving all of Uber, the through-line is the caliber of the work — not the size of the logo. First-person, no sales copy.

Kitco Metals — Data Consultant (Contract), 2009

MapReduce Before It Had a Name, for a Gold-Price Website

The problem
Kitco — an established precious-metals company running one of the web's most-trafficked gold-price sites — needed a distributed log-processing pipeline. 20+ GB datasets shipped in on physical DVDs, no cloud, no Hadoop yet
Scope
One-person contract. Bash-script parallelism across a handful of machines — patterns pulled from scientific computing, arrived at independently of Google's 2004 MapReduce paper
What shipped: A polynomial regression model predicting gold-price fluctuations — two days of data forecasting two days out, R² ~90%. My first paid engineering contract, and the same instinct for right-sized infrastructure I still bring to much larger problems: match the tool to the actual scale of the problem in front of you.
Bash Distributed Processing Regression Modeling Solo Contract
Uber — Staff Software Engineer

Navigation Platform at 1,400+ Nodes Per Data Center

The problem
Off-route detection algorithms needed continuous improvement without risking regressions across one of Uber's largest services
Scope
Serving all Uber apps globally. Java core, on-device iOS/Android binaries, Python simulation infrastructure
What shipped: Python-based parallel simulation infrastructure for safe algorithm iteration. On-device software for real-time cloud data ingestion. GDPR-compliant data deletion across distributed databases spanning two clouds, as part of the Postmates acquisition integration.
Python Java Distributed Systems GDPR Compliance Go
HERE Technologies — Engineering Manager

Autonomous Driving Capture Team, 2 to 14 Engineers

The problem
Build a team and capture system capable of powering the next generation of HD mapping vehicles for autonomous driving
Scope
New-generation HERE True capture vehicles, small-scale collection systems, full hardware-software integration
What shipped: Grew the Capture Systems Software team from 2 to 14 engineers. Designed and delivered the capture architecture that shipped in production vehicles. Built real-time and batch analytics for the global mapping fleet using Apache Storm.
Team Building Apache Storm Python Streaming Analytics Hardware-Software
Postmates / Uber — Senior Engineer II

Python 2 to 3 Migration Across a Full Monorepo

The problem
Migrate the entire Postmates monorepo from Python 2 to Python 3 without breaking critical delivery infrastructure
Scope
Core infrastructure monorepo, distributed testing across Kubernetes pods, Uber's wider Python service footprint
What shipped: Completed the full Python 2-to-3 migration at Postmates. At Uber, scraped and analyzed the dependency graph for Python microservices, targeted the top ~200 libraries covering roughly 93% of services, and drove the company-wide migration — including an overhaul of the open-source tchannel-python library.
Python Kubernetes Dependency Analysis Open Source
Westover Labs — Founder / CTO

An AI Agent Team That Ships Code Around the Clock

The problem
Build a solo-founder development operation that could produce team-level output across iOS, backend, and infrastructure simultaneously
Scope
Two App Store apps, two FastAPI inference backends, ONNX runtime serving, full CI/CD, self-hosted infrastructure
What shipped: A 12-persona AI agent team (Familiar) operating as a virtual engineering org — planning, coding, reviewing, and deploying continuously. Two iOS apps live on the App Store: Ghost Hunter (paranormal detection) and SkinVault (privacy-first photo classification), both running inference on-device. Public technical talk at LSST 2026 Berlin on AI-augmented development for scientific infrastructure.
Claude AI ONNX Runtime FastAPI React Native Ansible Cloudflare
Tools
Python FastAPI ONNX Runtime PyTorch React Native Ansible Cloudflare Tailscale PostgreSQL Kubernetes GitHub Actions
Physics PhD (ABD) MBA Staff Eng @ Uber

Physics, astronomy, and a few things I do because I want to.

Before the servers, there was surface physics. Two peer-reviewed papers from my doctoral research, plus a nod from a planetary-science paper I helped think through.

Peer-Reviewed · Surface Physics

Metallization of the β-SiC(100) 3×2 Surface: a DFT Investigation

James Westover, Hamid Oughaddou, Hanna Enriquez, Abdelkader Kara — Surface Science, 2012. DOI: 10.1016/j.susc.2012.05.027

Peer-Reviewed · Surface Physics

Electronic Structure of an Organic/Metal Interface: Pentacene/Cu(110)

Abdelkader Kara, Kathrin Müller, Thomas Brugger, James Westover, Thomas Greber, Thomas Jung — Journal of Physical Chemistry C, 2012. DOI: 10.1021/jp308058u

Acknowledged Contribution · Astronomy

Initial Velocity V-Shapes of Young Asteroid Families

Bryce T. Bolin, Kevin J. Walsh, Alessandro Morbidelli, Marco Delbo. The authors acknowledge James Westover "for thought-provoking discussions on the implementation of large-scale computing resources and algorithms" used in the work.

Passion Projects
Robotic Astronomy Civic Tech Infrastructure Computational Physics Open-Source AI Tooling

The astronomy interest isn't decorative. In grad school I built a junk HPC cluster out of salvaged Pentiums while fighting for time on shared university and national-lab systems — the scrappy origin of a project I still want to build: a SETI@home-style iOS app doing background distributed computing on astronomical data.


A German engineer who spent a decade in American big tech.

My mother was born in Berlin. My grandmother left the GDR before the Wall came down. I grew up a dual citizen — American and German — and spent ten years building at Uber and HERE Technologies in the US. In 2023 I moved back. The systems I build now carry both halves: engineering habits formed at American technology companies, applied from the city my family is from.


The best way to know is to start small.

Hiring is a gamble, and a fractional principal you've never worked with is an even bigger one. So rather than ask you to bet on a long engagement up front, I'd rather scope a first, focused piece of work — and let it speak for itself.

That's the point of the fractional model: right-sized, fixed-scope engagements put principal-caliber judgment — the kind that shipped at Uber and HERE — within reach of a business of any size. You don't need an Uber-sized budget to get an Uber-caliber read on your architecture.

The Invitation

No pitch deck, no vendor theater — you watch how I actually think through a problem, how I write, how I hand things off. Start with something concrete and contained. If it's not a fit, you walk away with real work product and an honest read on your architecture.

This isn't the pricing page. When you're ready to talk scope and terms, westover.expert is where I lay out how I work with clients.

How I engage → westover.expert

Say hello, or read more.

I'm easiest to reach by email. For a formal engagement, start at westover.expert — for the company I run this through, westoverlabs.eu.