Building intelligent, scalable systems from devices to the cloud
I am an IoT-centric software developer with a strong foundation in Python and cloud-based system design.
My work focuses on connecting physical devices to secure, scalable cloud platforms, and extracting value from that data using automation, analytics, and machine learning.
- π End-to-end IoT systems (Device β Cloud β Analytics)
- π Python for backend services, automation, and data pipelines
- βοΈ AWS IoT Core & cloud-native architectures
- βοΈ Permissioned blockchain using Hyperledger Fabric
- π€ Exploring AI/ML for intelligent IoT applications
π― Target Roles: IoT Developer Β· Python Developer Β· Backend Engineer
- Hyperledger Fabric
- Permissioned blockchain networks
- Secure and auditable data flows
- Data preprocessing & feature engineering
- Model training & evaluation
- ML pipelines for analytics and prediction
- IoT Platforms β Real-time sensor data ingestion and monitoring
- Cloud Backends β Scalable Python services for IoT workloads
- Blockchain Systems β Trust, transparency, and data integrity
- Data-Driven Systems β ML-powered insights from device data
Python Β· AWS IoT Β· MQTT
- Real-time device telemetry
- Cloud-based monitoring & alerts
- Scalable and secure IoT architecture
Hyperledger Fabric
- Permissioned blockchain network
- Secure transaction and data sharing
- Enterprise-grade architecture concepts
Python Β· Machine Learning
- Data processing pipelines
- Automation and analytics
- ML experimentation and evaluation
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π§ Turning connected devices into intelligent systems