A / Context
Industrial monitoring and predictive-maintenance products needed responsive operator interfaces, reliable machine feedback, and deployment paths that worked beyond a developer laptop.
Opening field journal
Portfolio
Work archive / 01.2
01.2 / Company chapter
Software Engineer
Systems on the factory floor
Turning real-time industrial data into dependable operator workflows.
Aug 2023 – Dec 2024Bangalore, India
40%
less monitoring time
2
industrial platforms
Real-time
machine feedback
Case file
What this chapter proves.
B / Contribution
Worked across frontend, backend, state management, integrations, performance, user testing, and packaged production delivery from early proof of concept onward.
C / Decisions
The implementation choices that shaped the work.
- Used microservices, MQTT, WebSockets, and OPCUA or FOCUS integrations to keep machine and application data synchronized in real time.
- Delivered React and Zustand interfaces with Docker and Nexe packaging for repeatable shop-floor releases.
D / Impact
The outcomes recorded from this chapter.
- Reduced monitoring time by 40% while improving API performance, data handling, and real-time operator visibility.
- Streamlined setup, reporting, and production delivery across two industrial platforms.
Project ledger
Selected systems
P.01
Selected project
SIEMENS
IGBT Health App
Full Stack Developer
Node.jsExpressReactZustandInfluxDBDocker
Selected outcomes
- 01Led development of a scalable industrial monitoring system, reducing monitoring time by 40%.
- 02Improved API performance and data handling through microservices, MQTT integration, and optimized frontend state management.
- 03Delivered from concept to production with iterative POCs, user testing cycles, and Docker-based containerized releases.
- 04Built real-time performance views and operator workflows in React with Zustand for responsive industrial dashboards.
P.02
Selected project
SIEMENS
Advaantics
Full Stack Developer
Node.jsExpressAngularWebSocketsMQTTNexe
Selected outcomes
- 01Built a web-based industrial monitoring platform with real-time synchronization and multi-service backend architecture.
- 02Improved setup time, data operations, and reporting efficiency through OPCUA/FOCUS integrations and performance optimizations.
- 03Reduced data lag with WebSocket synchronization and MQTT integration for reliable machine-to-cloud feedback loops.
- 04Delivered production builds with Docker and Nexe, streamlining deployments and packaged executables for shop-floor installs.