Hi there! I’m

Venkatesh Gokulraju,

Happy to see you on my website

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20+ years of
proven track record.

Hands-on successful technologist and an innovative product developer, successful product manager with 20+ years proven track record of building and leading outstanding products.

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Developer

Creator

AI Engineering Leader/Systems Architect/Technical Strategist/Innovation Enabler

Technical Product Manager

Specialization

Electronics Enthusiast and Hobbyist

Entrepreneurial Spirit

Quick Intro

A grounded, growth-driven engineering leader who values collaboration, iteration, and entrepreneurial thinking to deliver scalable innovation.

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Venkatesh GokulRaju is a hands-on engineering executive, visionary R&D leader, and Senior IEEE Member with over two decades of innovation spanning AI, embedded systems, telecom infrastructure, and cloud-native platforms. His career rooted in startups, enterprise-scale programs, and global research labs blends deep technical mastery with systems thinking and product leadership.

He is the creator of CLAP (Closed Loop Automation Platform), a patented orchestration framework that accelerates multi-vendor 5G OpenRAN deployments and powers AI-based automation in disaggregated networks. CLAP has demonstrably improved QoS, QoE, and spectral efficiency at scale.

Venkatesh is the creator of TwinSite, an AI-powered digital twin platform that revolutionizes telecom infrastructure deployment and lifecycle management. TwinSite accelerates new site builds and 5G rollouts through real-time 3D modeling, automated asset verification, and predictive remote inspections—eliminating manual surveys and dramatically reducing operational costs.

By fusing physical infrastructure, integration data, and live operational metrics, TwinSite creates a unified, intelligent view of telecom assets. Its embedded analytics engine enables Remote Electrical Tilt (RET)-based antenna alignment, remote health checks, structural validation, and automated closeout reporting—delivering scalable, data-driven lifecycle management that boosts accuracy, reduces OPEX, and accelerates resilient, next-gen network deployments.

He pioneered NEWS (Network Early Warning System), a predictive assurance engine that converts telemetry into actionable foresight, enabling zero-touch, self-healing network operations. Complementing this, he developed DCEWS (Data Center Early Warning System)—a patented AI platform that delivers autonomous thermal monitoring and predictive diagnostics across core and edge data centers.

His latest innovation, AstraTest, is a sensor-assisted SATCOM validation platform designed for LEO networks. It integrates AI-powered channel emulation, SDR diagnostics, and QoE benchmarking—enabling mission-ready performance validation for defense, emergency, and remote communications.

Across all initiatives, Venkatesh merges engineering rigor with visionary product execution—incubating and scaling platforms that redefine how networks are deployed, managed, and made resilient. He holds multiple U.S. patents and actively contributes to NTIA, 5G Americas, and the AI2030 Responsible AI Alliance.

Curious by nature and collaborative at heart, Venkatesh leads with humility, innovation, and a relentless drive to build technologies that make meaningful impact.

Humble. Passionate. Builder at heart. Leader by design.

What I Do

Research, Innovate, collaborate, design, code and build experimental prototype products on the following domains

IOT

Cloud Computing

Open Source Software

Sensor Analytics

Mesh Networking

TR69 – CWMP

Edge analytics

Artificial Intelligence

Machine Learning

Natural Language Processing

Embedded Vision Computing

Soft Sensor

Platform Dependant

Platform Independant

Power Harvesting

Enterprise Ethernet

Layer 2 & Layer 3 Networking

Intent-Based Networking

EDGE/MICRO DATA CENTERS

SDWAN

Space & Defense

Microgrid

Telecom

Sports Wearables

Automotive

Ocean Buoys

OpenCast & Underground mining

SMART INDUSTRY

Augmented reality

WLAN

Enterprise IOT Gateway

Software Defined Radio

Commercial off-the-shelf software systems

Smart Agriculture

Open Source Drones and ROS Platform

Demo Corner

View & explore my works “A hands-on showcase of ideas brought to life—AI, embedded systems, edge innovation, and more.”

RF Snooper 5:29

Powering security audits and IoT deployments with distributed sensor-enabled active tags and nodes relaying data to gateways — capturing, decoding, emulating, and auditing RFID and RF signals across all bands for penetration testing, IoT validation, and ethical security analysis.

DCEWS 3:20

DCEWS Sensor360, a minimal viable Data Center Early Warning System platform that proactively monitors and manages IT equipment across Local Edge, Distributed IT, and Data Center environments.
The platform offers single-pane-of-glass visibility through customizable dashboards, remote device management, and real-time health and security assessments. It delivers built-in KPIs, analytics, machine learning-driven insights, auto-discovery, and preemptive alerting to detect issues before users are impacted.
Leveraging FIX & FORGET indoor RF, lighting, and vibration-harvested sensors with dynamic power management, encrypted payloads, and a reconfigurable wireless sensor backhaul, DCEWS Sensor360 ensures continuous, secure, and intelligent monitoring.
This system empowers IT teams to triage problems faster, tune performance, and extend operational resilience — all with zero-touch provisioning and self-learning intelligence.

LC360 6:45

Load Cell [LC360] is an AI+IoT-powered smart retail platform that combines intelligent load sensors, edge computing, and cloud analytics to deliver real-time inventory tracking, autonomous checkout, and data-driven retail operations. Designed for full autonomy, LC360 transforms shelves into dynamic decision points, enabling predictive restocking, seamless customer experiences, and actionable business insights.

More than just a smart shelf, LC360 functions as the intelligent nerve center of next-gen retail—bridging the gap between operational efficiency and personalized shopper engagement.

WI-FI MESH Provisioning of IOT Loadcells 0:11

Designed for next-generation IoT infrastructures, WiFi Mesh Provisioning ensures secure device onboarding, dynamic mesh formation, autonomous route optimization, and seamless over-the-air updates—delivering zero-touch, resilient scalability across distributed wireless ecosystems.

Ultra-Precise EdgeAI-Enabled Load Cell Platform for Micro-Scale Structural Intelligence

Ultra–High-Sensitivity Smart Load Cell Platform with EdgeAI delivers ultra-precise, repeatable weight detection down to 1 grams, powered by finely tuned strain gauges and calibration-stabilized mixed-signal design. Engineered for micro-load applications in aerospace, precision manufacturing, and smart materials, it merges mechanical accuracy with embedded intelligence. Its integrated EdgeAI module performs real-time fatigue analysis, anomaly detection, and failure prediction directly at the edge. With bandwidth-efficient telemetry and cloud-independent operation, it ensures reliable, autonomous diagnostics in constrained environments. This platform transforms traditional sensing into a predictive, intelligent system for self-aware infrastructure.

End-to-End Lifecycle Management for Intelligent Load Cells

The platform delivers end-to-end lifecycle management for intelligent load cells—spanning secure onboarding, precision calibration, real-time monitoring, and predictive maintenance. Embedded EdgeAI enables on-device anomaly detection, fatigue analysis, and failure prediction without cloud dependency. With firmware-over-the-air (FOTA) updates, adaptive AI deployment, and heatmap analytics, the system continuously optimizes performance and provides visual insight into structural stress and degradation. Bandwidth-efficient telemetry transmits only actionable alerts, while lifecycle scoring engines calculate Remaining Useful Life (RUL) and maintenance needs. This EdgeAI-enabled platform transforms load sensing into an autonomous, self-aware system—ideal for remote, industrial, and safety-critical infrastructure.