Deependra Singh Rawat
Edge AI driven Resilient Broadband Infrastructure Expert with 18+ Years of Experience
I build intelligent broadband and embedded-network systems that turn access infrastructure into resilient, telemetry-rich, AI-enabled platforms. My work spans CPE software, DOCSIS optimization, predictive maintenance, and production-grade engineering for reliable connectivity.
Broadband systems, made intelligent and dependable.
A focused technical practice across edge AI, telemetry, DOCSIS infrastructure, and embedded software that supports resilient connectivity at scale.
Edge AI on CPE Platforms
Deploying efficient models and decision logic close to the subscriber edge for faster network intelligence.
DOCSIS 3.1/4.0 Network Optimization
Improving cable access performance through RF telemetry, channel visibility, and operational analytics.
Telemetry & Predictive Maintenance
Transforming device and plant signals into anomaly detection and proactive maintenance workflows.
Embedded Broadband Software
Building resilient CPE and gateway software stacks across Linux, OpenWrt, OpenSync, and broadband environments.
Technical impact with measurable operating value.
6–8× compute reduction
Applied edge-efficiency thinking to reduce processing load while preserving practical network intelligence.
AI-enabled broadband optimization frameworks
Advanced telemetry-driven methods to distinguish broadband plant behavior patterns.
MTTR from hours to minutes
Improved diagnostic pathways by converting telemetry into clearer fault isolation.
OpenWrt / OpenSync telemetry stack
Advanced device-level visibility across CPE software foundations.
Deependra Singh Rawat 