Milo B.

Sole software developer at SequoIA Analytics, a traffic monitoring startup using fiber optic technology (DAS: Distributed Acoustic Sensing). Design, development, and operation of the entire technical stack in production.

Technical Scope

- Real-time signal processing pipeline: acoustic sensor data ingestion, vehicle detection and classification, trajectory calculation (Python, NumPy, signal processing algorithms)

- Distributed data infrastructure: Kafka for event streaming, ClickHouse for high-frequency analytical storage, Redis for real-time caching

- Application backend: Django API, authentication, management of deployed clients and sensors

- Visualization frontend: Real-time React dashboard with Mapbox and deck.gl mapping, WebSocket communication

- Observability: OpenTelemetry stack (logs, metrics, traces) and CI/CD across the entire monorepo

Notable Achievements

- Production deployment on 80 km of instrumented fiber, approximately 16,000 acoustic measurement points, with continuous ingestion of ~5 MB/s of raw signal data

- 7.5x acceleration of the DAS processing pipeline through parallelization and GPU memory optimization

- Implementation of a regression testing suite for the signal pipeline

- Technical representation of the company at Intertraffic Amsterdam 2026

Environment: early-stage startup, rapid iteration, direct interaction with industrial clients and R&D teams.

Development of a simulator for various automotive sensors (speed, pressure) based on precise heuristic curves.

Maintenance and expansion of the decision support and control stack. Data warehouse, feeding, data quality improvement for data addressed and presented to decision-makers, including the main administration of the University.