Experience
18+ years across broadband platforms, embedded systems, and edge AI.
Deependra’s work spans production broadband environments, CPE platforms, DOCSIS operations, gateway software, telemetry, and AI-enabled diagnostics for resilient access networks.
Current focus
Principal Software Engineering · AI/ML and Broadband Infrastructure
Engineering leadership across resilient broadband infrastructure, CPE telemetry, edge AI, DOCSIS operations, and production access-network systems.
Platforms
Embedded broadband software and gateway ecosystems
Hands-on work with RDK-B, OpenWrt, Linux-based CPE, diagnostics, device telemetry, service monitoring, and operational tooling for broadband access environments.
AI systems
Applied machine learning for edge and network intelligence
Model optimization, edge deployment considerations, telemetry-driven inference, and AI-assisted diagnostics for constrained broadband environments.
Core capabilities
Broadband CPE
Gateway software, diagnostics, telemetry, and access-network operations.
Gateway software, diagnostics, telemetry, and access-network operations.
DOCSIS operations
Production reliability, RF visibility, service continuity, and fault response.
Production reliability, RF visibility, service continuity, and fault response.
Edge AI
Model optimization, inference-aware design, and constrained-device deployment thinking.
Model optimization, inference-aware design, and constrained-device deployment thinking.
Data engineering
Telemetry pipelines, cloud platforms, analytical workflows, and operational insight.
Telemetry pipelines, cloud platforms, analytical workflows, and operational insight.
Deependra Singh Rawat 