Skip to content
This repository was archived by the owner on Jan 26, 2026. It is now read-only.

Update resume with AI-driven development and home hosting focus #4

Merged
westover merged 1 commit into from
Oct 28, 2025
Merged

Update resume with AI-driven development and home hosting focus #4

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
67 changes: 50 additions & 17 deletions index.html
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,43 +13,73 @@ <h1>James Westover</h1>
<li><strong>LinkedIn:</strong> <a href="https://www.linkedin.com/in/jameswwestover/">@jameswwestover</a></li>
<li><strong>GitHub:</strong> <a href="https://www.github.com/jameswestover">@westover</a></li>
<li><strong>Scite:</strong> <a href="https://scite.ai/authors/james-westover-b8EkbR">Author Page</a></li>
<li><strong>Portfolio:</strong> <a href="https://westover.dev">westover.dev</a></li>
<li><strong>Consulting:</strong> <a href="https://westover.expert">westover.expert</a> | <a href="https://westover.services">westover.services</a></li>
<li><strong>Developer Tools:</strong> <a href="https://breadfactory.app">breadfactory.app</a></li>
<li><strong>Address:</strong> <a
href="https://maps.apple.com/?address=270,Cloverbrook+Cir,Pittsburg,California">270 Cloverbrook Cir,
Pittsburg, CA 94565, United States</a></li>
<li><strong>Email:</strong> <a href="mailto:[email protected]">[email protected]</a></li>
<li><strong>Phone:</strong> <a href="tel:+1-510-207-8194">+1-510-207-8194</a></li>
</ul>
<h2>Summary</h2>
<p>I’m a seasoned systems architect and Python expert with a deep background in mapping and autonomous driving. I specialize in bridging the gap between real-world sensor data and large-scale backend systems — building infrastructure that transforms ground-level input into actionable insights. From platform modernization at Uber to edge-to-cloud ML pipelines at Neher Data Systems, I bring hands-on technical leadership to complex, data-driven problems.<br><strong>Specialties:</strong> Python, Distributed Systems, Sensor Data Pipelines, API Design, Cloud Architecture (AWS), Mapping, GIS, ML Infrastructure.</p>
<p>I'm a seasoned systems architect and Python expert leveraging AI as a force multiplier to accelerate development and innovation. With deep experience in mapping, autonomous driving, and distributed systems, I now lead virtual development teams powered by Claude automation — orchestrating AI agents to rapidly build, deploy, and scale production systems. From platform modernization at Uber to AI-driven development at Neher Data Systems, I specialize in cost-effective, privacy-first infrastructure that empowers developers to build at home without metered cloud constraints. My recent work includes launching subscription iOS apps with open-source ML models, FastAPI ONNX inference services, and home-hosted infrastructure using Cloudflare, GitHub, Tailscale, and Ansible.<br><strong>Specialties:</strong> Python, AI-Driven Development, Distributed Systems, FastAPI, React Native/Expo, ONNX Inference, Home Hosting Infrastructure, Privacy-First Architecture, Developer Tools, Cloud Architecture (AWS), Mapping, GIS, ML Infrastructure.</p>
<h2>Technical Qualifications</h2>
<ul>
<li><strong>Languages & Scripting:</strong> Deep expertise in Python (2.4–3.x) as a primary backend language. Production experience with JavaScript (ES6), TypeScript (infra/tooling), SQL, Golang, Java, C++, Shell scripting (Bash, Zsh, Windows CMD), FORTRAN (77, 90, 95).</li>
<li><strong>Backend & Python Libraries:</strong> Django, Flask, Tornado, FastAPI, WSGI, Celery, SQLAlchemy, Alembic, Pydantic, Marshmallow, Requests, Pytest, Tox, PDM, Virtualenv, AsyncIO, Multiprocessing, Threading, boto3, Click, Typing, Dataclasses, logging.</li>
<li><strong>ML & AI Frameworks:</strong> PyTorch, TensorFlow, Scikit-learn, NumPy, SciPy, Pandas, Matplotlib, OpenCV.</li>
<li><strong>ML & AI Frameworks:</strong> PyTorch, TensorFlow, Scikit-learn, NumPy, SciPy, Pandas, Matplotlib, OpenCV, ONNX Runtime. Extensive experience with Claude AI for development automation and AI-augmented workflows.</li>
<li><strong>Mobile Development:</strong> React Native, Expo, TypeScript, ARKit, CoreLocation, StoreKit 2 (subscription management), on-device ML inference, cross-platform mobile architecture.</li>
<li><strong>Serialization, RPC & Messaging:</strong> gRPC, Apache Thrift, Protobuf, Apache Avro, Apache Parquet, Kafka, RabbitMQ, TChannel (primary contributor to Python 2→3 migration).</li>
<li><strong>Streaming & Big Data:</strong> Apache Kafka (including Confluent Platform), Apache Storm, Apache Spark, Apache Flink, Apache Airflow, Hadoop, MapReduce, YARN, Hive, HBase, Druid, Zookeeper, Presto, ClickHouse, Amazon Kinesis, EMR, Athena, S3 Select, Google Bigtable; also built internal workflow and data orchestration systems (e.g., Warehouser at Sonobi, Weatherman at HERE).</li>
<li><strong>Cloud & Infrastructure:</strong> AWS (ECS, EC2, S3, SSM, SageMaker, Lambda, CloudFormation, CloudWatch, IAM), GCP (Bigtable, Compute Engine), Azure (VMs, Storage), on-prem and hybrid infrastructure (including SaltStack, Mesosphere/DCOS, internal Uber orchestration systems, and private cloud deployments using XenServer and Eucalyptus); familiar with OpenStack. Used secrets management tools including AWS KMS, GitHub Secrets, and GCP Secret Manager. Docker, Kubernetes, Envoy, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI, Nginx, Varnish, HAProxy, Prometheus, Grafana, Datadog, ELK Stack, CDN integration, Load Balancing, Auto Scaling, Immutable Infrastructure.</li>
<li><strong>Cloud & Infrastructure:</strong> AWS (ECS, EC2, S3, SSM, SageMaker, Lambda, CloudFormation, CloudWatch, IAM), GCP (Bigtable, Compute Engine), Azure (VMs, Storage), on-prem and hybrid infrastructure (including SaltStack, Mesosphere/DCOS, internal Uber orchestration systems, and private cloud deployments using XenServer and Eucalyptus); familiar with OpenStack. Expert in privacy-first home hosting infrastructure using Cloudflare (edge networking, tunnels, DNS), Tailscale (mesh VPN, zero-trust networking), and Ansible (infrastructure as code). Used secrets management tools including AWS KMS, GitHub Secrets, and GCP Secret Manager. Docker, Kubernetes, Envoy, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI, Nginx, Varnish, HAProxy, Prometheus, Grafana, Datadog, ELK Stack, CDN integration, Load Balancing, Auto Scaling, Immutable Infrastructure.</li>
<li><strong>Data & Storage Technologies:</strong> PostgreSQL, MySQL, Oracle, Microsoft SQL Server, Cassandra (including multi-region deployments, tuning tombstone behavior, and managing consistency models such as QUORUM, LOCAL_QUORUM, and ONE for read/write performance and availability tradeoffs), Redis, Memcached, HBase, Hive, Google Bigtable, Amazon Redshift, Elasticsearch, Apache Solr, Druid, S3, Zookeeper; experienced in schema design, indexing strategies, and distributed storage tradeoffs at scale.</li>
<li><strong>Geospatial Technologies:</strong> PostGIS, OpenLayers, GeoJSON, GeoServer, GDAL, Shapely, GEOS, Proj, Leaflet, Mapbox, QGIS; experience with Uber’s internal mapping stack including S2 and H3 cell indexing, real-time geohashing, sensor fusion pipelines, and off-route detection. Built and optimized tile services (including vector tiles) and on-device map matching infrastructure for mobile inference. Contributed to routing optimizations including custom solutions to variations of the Traveling Salesman Problem (TSP) for fleet and logistics use cases.</li>
<li><strong>Autonomous Systems & Sensor Infrastructure:</strong> Deep experience in autonomous driving and sensor fusion, with a focus on end-to-end systems bridging real-time vehicle data and distributed backend platforms. Worked extensively with ROS (Robot Operating System) in mapping vehicles; contributed to pipeline design for edge data capture, onboard preprocessing, wireless uplink, and cloud-based ingestion and analysis. Led technical efforts across HERE, Intel, Nvidia, Mercedes-Benz, and Audi, specializing in sensor-to-cloud communication and fleet-scale data infrastructure. Hands-on experience with HD map generation, fleet telemetry pipelines, and real-time localization systems.</li>
<li><strong>HPC & Scientific Computing:</strong> Extensive experience in high-performance computing for scientific applications, including Monte Carlo simulations, molecular dynamics (LAMMPS), and electronic structure calculations (VASP). Built and maintained Beowulf-style compute clusters using ROCKS, including diskless node deployment and MPI-based parallelization with MPICH2 and OpenMPI. Proficient with OpenMP, multithreading, and custom HPC toolchains. Designed and implemented real-time microsecond-precision timing systems for laser cooling in Bose–Einstein condensate experiments; strong background in signal synchronization, hardware interfacing, and experimental system design. Familiar with analytical and modeling tools including MATLAB, Mathematica, Maple, LabView, and SPSS.</li>
<li><strong>Engineering Process & Quality Systems:</strong> Trained in Agile, Scrum, and Lean Six Sigma methodologies; experienced in applying continuous improvement and iterative development practices to engineering orgs. Heavily participated in ISO 9001 certification efforts for a prior organization, implementing quality management systems and process documentation standards to support scalable, auditable software delivery.</li>
<li><strong>Leadership, Mentorship & Communication:</strong> Experienced engineering manager and technical leader with a strong background in team building, mentorship, and cross-functional execution. At HERE, grew the Capture Systems Software team from 2 to 15 engineers, structuring it into multiple subteams (frontend, mobile/tablet, backend, DevOps, and embedded) to support a wide range of autonomous driving projects. Served as architect and IC across backend, DevOps, and embedded systems while leading people and delivery. At Uber, built the Location Platform team from the ground up, making key hires who continue to thrive in senior roles. Played key roles in cross-org collaboration and alignment efforts at both companies, coordinating closely with platform, data, and product teams to deliver complex, multi-stakeholder infrastructure. Former undergraduate instructor and curriculum designer with experience developing and teaching lab-driven STEM courses. Skilled in aligning technical vision, mentoring engineers, and scaling team culture and process.</li>
<li><strong>Leadership, Mentorship & Communication:</strong> Experienced engineering manager and technical leader with a strong background in team building, mentorship, and cross-functional execution. Currently pioneering AI-augmented development teams at Neher Data Systems, serving as Head of Engineering to orchestrate Claude AI agents as virtual team members — demonstrating how individual developers can achieve team-level productivity through strategic AI orchestration. At HERE, grew the Capture Systems Software team from 2 to 15 engineers, structuring it into multiple subteams (frontend, mobile/tablet, backend, DevOps, and embedded) to support a wide range of autonomous driving projects. Served as architect and IC across backend, DevOps, and embedded systems while leading people and delivery. At Uber, built the Location Platform team from the ground up, making key hires who continue to thrive in senior roles. Played key roles in cross-org collaboration and alignment efforts at both companies, coordinating closely with platform, data, and product teams to deliver complex, multi-stakeholder infrastructure. Former undergraduate instructor and curriculum designer with experience developing and teaching lab-driven STEM courses. Skilled in aligning technical vision, mentoring both human and AI team members, and scaling team culture and process.</li>
</ul>
<h2>Projects</h2>
<ul>
<li>
<strong>Neher Data Systems</strong>
<ul>
<li>
<h4>Ghost Hunter</h4>
<h4>Claude Automation & AI-Driven Development (nds_server)</h4>
<ul>
<li>Created iOS-based AR ghost hunting game using ARKit and CoreLocation.</li>
<li>Added in-app purchases and real-time AWS Lambda integration for AI-generated ghosts.</li>
<li>Managed client-server communication and state sync with Firebase.</li>
<li>Built virtual development team powered by Claude AI agents, acting as Head of Engineering to orchestrate autonomous bot developers.</li>
<li>Achieved rapid development cycles by leveraging AI as a force multiplier — automating code generation, testing, deployment, and infrastructure management.</li>
<li>Architected AI-driven workflows for full-stack development including React Native, FastAPI, and ONNX inference services.</li>
<li>Demonstrated how individual developers can achieve team-level output through strategic AI orchestration and tooling.</li>
<li>Pioneered privacy-first, cost-effective home hosting infrastructure using Cloudflare, GitHub, Tailscale, and Ansible.</li>
</ul>
<p><strong>Technologies:</strong> Typescript, React Native, Expo, ARKit, Firebase, AWS Lambda, StoreKit</p>
<p><strong>Skills:</strong> Mobile Development, AR, Cloud Integration, Product Monetization</p>
<p><strong>Technologies:</strong> Claude AI, Python, FastAPI, React Native, Expo, ONNX Runtime, Docker, Ansible, Tailscale, Cloudflare, GitHub Actions</p>
<p><strong>Skills:</strong> AI Orchestration, Team Leadership, DevOps Automation, Infrastructure as Code, Rapid Prototyping, AI-Augmented Development</p>
</li>
<li>
<h4>Ghost Hunter iOS Subscription App</h4>
<ul>
<li>Rebuilt and launched subscription-based AR ghost hunting game on Apple App Store.</li>
<li>Integrated open-source ML models for real-time object detection and inference using ONNX Runtime.</li>
<li>Deployed cost-effective FastAPI inference services with home-hosted infrastructure managed by Ansible and Tailscale.</li>
<li>Achieved production-grade reliability while avoiding metered cloud costs through strategic use of Cloudflare edge networking and GitHub-based CI/CD.</li>
<li>Implemented subscription management using StoreKit 2 and server-side receipt validation.</li>
<li>Developed using React Native and Expo for rapid iteration and cross-platform capability.</li>
</ul>
<p><strong>Technologies:</strong> TypeScript, React Native, Expo, ARKit, ONNX Runtime, FastAPI, Cloudflare, Tailscale, Ansible, GitHub Actions, StoreKit 2, Open Source ML Models</p>
<p><strong>Skills:</strong> Mobile Development, AR, On-Device ML, Cost Optimization, Subscription Monetization, Home Infrastructure, Privacy-First Architecture</p>
</li>
<li>
<h4>Breadfactory.app - Home Developer Tools Platform</h4>
<ul>
<li>Building platform and tooling to empower at-home developers to take ideas to production without cloud vendor lock-in.</li>
<li>Emphasis on privacy-first development, cost transparency, and freedom from metered cloud services.</li>
<li>Providing patterns and tools for home hosting with professional-grade infrastructure using Cloudflare, Tailscale, and open-source technologies.</li>
<li>Enabling developers to maintain control over their data and infrastructure costs while achieving scalable, production-ready deployments.</li>
</ul>
<p><strong>Technologies:</strong> Python, FastAPI, Docker, Ansible, Tailscale, Cloudflare, Open Source Tools</p>
<p><strong>Skills:</strong> Developer Tools, Platform Engineering, Infrastructure Design, Privacy Engineering, Cost Optimization, Developer Education</p>
</li>
<li>
<h4>Transit Authority Train Project (Bid Not Selected)</h4>
Expand Down Expand Up @@ -272,16 +302,19 @@ <h3>Urbn</h3>
</div>
<div class="experience-entry">
<h3>Neher Data Systems</h3>
<p><strong>CTO</strong> <br><em>January 2021 - Present</em></p>
<p><strong>CTO & Head of Engineering (AI-Augmented Development Team)</strong> <br><em>January 2021 - Present</em></p>
<ul>
<li>Technical leader for projects, engaging in contract work for businesses and government agencies.</li>
<li>Lead virtual development team powered by Claude AI automation, orchestrating autonomous agents to achieve rapid full-stack development.</li>
<li>Pioneer AI-driven development methodology that enables individual developers to achieve team-level productivity through strategic orchestration of AI agents for code generation, testing, and deployment.</li>
<li>Architect and deploy production systems emphasizing cost-effective home hosting with privacy-first infrastructure using Cloudflare, GitHub, Tailscale, and Ansible.</li>
<li>
Notable projects and bids:
Notable projects and products:
<ul>
<li>NJ Transit Authority: Built real-time passenger occupancy proof of concept using AWS ECS, Elastic IPs, and AWS ML/AI products.</li>
<li>Deployed Python-based microservices (including Django) in ECS; used Amazon Keyspaces and S3 for configuration and storage.</li>
<li>Ghosthunter app: Developed React Native app interfacing with NJTA POC for object detection and bounding boxes; released on Google Play Store and Apple App Store using Expo.</li>
<li>Ghosthunter app 2: Extended React Native app for enhanced on-device detection capabilities.</li>
<li><strong>Claude Automation Project (nds_server):</strong> Built AI-driven development workflows automating React Native, FastAPI, and ONNX inference service deployment. Demonstrated force multiplier effect of AI orchestration in production environments.</li>
<li><strong>Ghost Hunter iOS Subscription App:</strong> Launched production iOS app on Apple App Store with subscription monetization, open-source ML models via ONNX Runtime, and cost-optimized FastAPI inference backend hosted on home infrastructure.</li>
<li><strong>Westover.dev / Westover.expert / Westover.services:</strong> Building consulting brand and service catalog focused on enabling at-home developers with privacy-first, cost-effective tooling and infrastructure patterns.</li>
<li><strong>Breadfactory.app:</strong> Developing platform and educational content for home developers seeking to escape metered cloud costs while maintaining production-grade reliability and scale.</li>
<li><strong>NJ Transit Authority (Bid):</strong> Designed real-time passenger occupancy system using AWS ECS, AWS ML/AI services, Python microservices with Django, Amazon Keyspaces, and S3 storage.</li>
</ul>
</li>
</ul>
Expand Down
Loading