Laboratory Automation & Cloud Diagnostics
Integrated precision diagnostic hardware (liquid handlers, sequencers) with cloud orchestration services via Temporal.io, WebSockets, and Redis, enabling reliable, uninterrupted multi-hour assay execution.
Project Overview
Field / Domain: Precision Biotechnology & Lab-in-the-Cloud Systems
Role / Scope: Principal Backend Architecture & Hardware Protocol Engineering
Technologies: Python, FastAPI, Temporal.io, Redis, WebSockets, Docker, GCP, Neo4j, FFmpeg
The Architectural Challenge
Integrating precision wet-lab diagnostic instruments (liquid handling robots, high-throughput sequencers, robotic manipulators, incubators) with cloud-native web services requires uncompromising reliability. Device communication must maintain state across multi-hour runs, handle intermittent network blips without losing sample progress, and coordinate long-running physical tasks alongside dry-lab bioinformatics computations.
Technical Solution
- Durable Distributed Orchestration: Engineered a second-generation workflow orchestration platform utilizing FastAPI and Temporal.io, delivering durable state management, automated retry mechanics, and deterministic fault recovery for complex multi-instrument runs.
- Real-Time Bidirectional Device Protocol: Replaced legacy short-polling with a low-latency messaging architecture over WebSockets and Redis, synchronizing device execution lifecycle and telemetry in real time.
- Heterogeneous Hardware Abstraction: Designed standardized execution contracts abstracting physical instruments (e.g., Opentrons liquid handlers, Illumina NextSeq sequencers) into modular, interchangeable workflow nodes.
- Bioinformatics & Knowledge Graphs: Orchestrated cloud batch bioinformatics pipelines (variant calling, sequence analysis) alongside an oncology knowledge graph built on Neo4j, enabling LLM-assisted exploration of complex evidence relationships.
Demonstrated Outcome
Eliminated lost test runs due to infrastructure disconnects, achieved sub-second state synchronization across distributed hardware nodes, and bridged physical wet-lab robotics with automated cloud analytics.
Inquire About Laboratory Automation
Have a similar engineering challenge in hardware interfacing or lab-in-the-cloud orchestration?
Discuss Your Project or reach our engineering team directly at contact@antardata.com.
Have a similar engineering challenge?
Discuss your technical constraints, data environment, and objectives with our principal engineers.