Building Infrastructure
at Scale
Staff Software Engineer & Systems Architect
I specialize in Python-powered distributed systems at massive scale — from autonomous driving platforms to real-time location services handling 10M+ QPS. I architect backend infrastructure that bridges sensor data, AI/ML inference, and cloud-native applications. Currently building production mobile apps with Python backends at Neher Data Systems.
Core Expertise
Distributed Systems
- Real-time location services (2-10M QPS)
- Apache Kafka, Storm, Spark streaming
- Multi-region Cassandra deployments
- High-availability architecture
- GDPR-compliant data pipelines
Python Platform Leadership
- 15+ years Python (2.4→3.13)
- FastAPI, Django, Flask, Tornado production systems
- AsyncIO, multiprocessing, threading at scale
- Led Uber/Postmates Python 2→3 migrations
- Open source: tchannel-python core contributor
- Modern tooling: PDM, Pydantic v2, Ruff
Autonomous Systems
- HD mapping fleet infrastructure
- Sensor fusion & telemetry pipelines
- ROS integration & edge processing
- Real-time geospatial correction
- Off-route detection algorithms
Cloud & DevOps
- AWS (ECS, SageMaker, Lambda, S3)
- Kubernetes, Docker orchestration
- CI/CD with GitHub Actions, Jenkins
- Infrastructure as Code (Terraform, Ansible)
- Monitoring & observability
Geospatial & Mapping
- PostGIS, H3, S2 cell indexing
- Map matching & routing optimization
- GeoJSON, vector tiles, WMS/WFS
- GPS signal correction (ShadowMaps)
- Fleet tracking & visualization
Team Leadership
- Built teams from 2 to 15 engineers
- Cross-org technical alignment
- Agile, Scrum, ISO 9001 processes
- Mentorship & career development
- Stakeholder management
Notable Projects
Uber Navigation Platform
Contributed to one of Uber's largest services (~10K nodes per DC) powering all routing and mapping. Reduced p95 off-route detection from 5min to 2min through algorithm improvements and on-device data ingestion.
Location Platform
Built and led team increasing global GPS+sensor data ingestion from ~80% to 97%+. Architected GDPR-compliant location sharing, enabling RideCheck safety features and crash detection.
Python Platform at Uber
Founding member supporting all Python development company-wide. Led Python 2→3 migration covering 90%+ of services. Major contributor to tchannel-python (Tornado-based Thrift RPC).
HERE Autonomous Driving Fleet
Led Capture Systems team (2→15 engineers) designing next-gen mapping vehicles. Built lambda architecture for real-time fleet telemetry using Apache Storm, Kafka, and Elasticsearch.
ShadowMaps
Contributed to multipath-aware GPS correction system accounting for signal reflection in urban canyons. Improved location accuracy for millions of trips.
Ghost Hunter: Paranormal AI
Production iOS app with on-device AI inference using ONNX Runtime Mobile for sub-second object detection. Built complete edge-to-cloud architecture: React Native app with local ML inference, Python FastAPI backend for model management, subscription IAP validation, and AWS ECS deployment. Achieves real-time performance with ONNX models running natively on iPhone, eliminating network latency for AI predictions.
Building with Neher Data Systems
As CTO of Neher Data Systems, I architect production systems combining Python backends with mobile frontends. Our stack leverages FastAPI, ONNX Runtime, AWS infrastructure, and modern DevOps for reliable, scalable applications.
Current projects: AI-powered mobile apps, transit authority ML systems, photo analysis APIs with token authentication, and automated deployment pipelines using Ansible + GitHub Actions.
Available for consulting on Python platform architecture, distributed systems, ML inference pipelines, and geospatial infrastructure.
Let's Talk