Bhuvnesh Kumar

About Bhuvnesh Kumar

I specialize in architecting scalable, cloud-native platforms for web, mobile, and data-intensive systems, with hands-on experience across frontend, backend, data, and cloud layers. I design end-to-end solutions using React.js, Node.js, PHP frameworks, and React Native, enabling robust web and hybrid mobile applications for iOS and Android.My experience includes building and operating distributed cloud architectures across Microsoft Azure, AWS, and GCP, leveraging services such as EC2, S3, Lambda, Azure Web Services, Azure Functions, Azure DevOps, and CI/CD pipelines. I focus on scalability, security, performance, reliability, and cost optimization in production environments.I work extensively with data and analytics architectures, including database design, data modeling, and integrations using SQL, MySQL, MongoDB, and Firebase, along with developing analytics and visualization layers through Microsoft Power BI for operational and executive insights.A significant part of my work is in Smart Spaces and IoT architectures, designing pipelines to ingest, process, and analyze high-volume telemetry data from diverse IoT sensors and devices. These architectures enable real-time monitoring, anomaly detection, operational optimization, and financial impact analysis across multiple physical spaces.I also design LLM and Agentic AI-driven architectures that move systems from reactive analytics to autonomous intelligence, enabling automated issue detection, insight generation, proactive alerts, and decision support for predictive maintenance and intelligent operations.Infosys IoT Professional Certified, with a strong focus on building resilient, extensible, and future-ready architectures that align technology capabilities with business outcomes.

Experience

1. Technology Architect

   Infosys

   Dec 2025 — Present · IN

   Worked extensively in Smart Spaces / Smart Buildings domains, handling large-scale telemetry data generated from multiple IoT sensors and devices (energy, occupancy, environmental, and operational sensors). • Designed and implemented cloud-based data pipelines to ingest, process, and analyze real-time and historical telemetry data using scalable cloud services. • Built interactive dashboards and analytics views to visualize space utilization, device health, energy consumption, and operational KPIs for business and facility stakeholders. • Enabled data-driven issue detection across multiple physical spaces by correlating sensor data, helping identify anomalies, inefficiencies, and operational failures proactively. • Performed cost calculations and impact analysis based on telemetry insights, helping stakeholders: • Reduce operational expenses • Optimize space utilization • Improve energy efficiency • Make informed financial and planning decisions • Collaborated closely with business teams and stakeholders to translate raw sensor data into actionable insights, supporting better financial forecasting and decision-making. • Worked on LLM-powered solutions to: • Automatically analyze telemetry and operational data • Detect potential issues and abnormal patterns • Auto-generate insights, alerts, and recommendations • Raise proactive concerns before issues impact end users • Contributed to improving predictive maintenance, operational efficiency, and user experience by combining IoT data, cloud analytics, and Large Language Models (LLMs).

Education

• Beant College of Engg. & Tech., Gurdaspur

  computer science engineering, Computer Software Technology/Technician

  2012 — 2016