Veeravardhan Addala
Analyst at Capgemini
Hyderabad, India
Addala Veera Vardhan | Analyst at Capgemini holds a B.Tech in Computer Science and Machine Learning from CMR College of Engineering & Technology. He specializes in AI & ML, IoT support, cloud infrastructure, technical incident management, device lifecycle operations, and root-cause analysis. His key achievements include securing ₹9 lakh in government funding through the MSME 3.0 National Hackathon for scaling his Autonomous Road Maintenance and Pothole Repair System, an innovation for which an Indian patent has been filed/granted, as stated in his profile. He also developed a CNN-based facial expression recognition system achieving 90% validation accuracy. His work focuses on bridging software engineering, AI, and IoT to develop innovative solutions for real-world challenges.
Analyst
Capgemini Technology Services
- Delivers 2nd-level technical incident support and manages high-priority technical escalations for global enterprise IoT ecosystems under Essity IoT Tork Services.
- Executes global device provisioning, activation, and deactivation workflows while maintaining active IoT edge gateways to ensure uninterrupted data telemetry.
- Conducts technical root-cause analysis on system logs and coordinates with cross-functional support tiers to drive swift bug resolution.
- Acts as a direct L2 technical liaison for Customer Success Managers and global enterprise clients to translate backend telemetry anomalies into actionable solutions.
- Completed rigorous fast-track training in Full-Stack .NET Core development, C#, and Microsoft Azure Storage architectures to diagnose and patch backend cloud exceptions.
Developed an automated pothole detection and filling system using Arduino Mega, ultrasonic sensors, a motor driver, DC motor, and a servo-controlled filling mechanism. The system uses ultrasonic sensors to detect potholes and measure their depth, enabling the prototype to identify potholes and dispense filling material through a servo-operated mechanism. The project integrates embedded systems, sensor-based detection, motor control, and automation to explore an efficient solution for road maintenance. My responsibilities included team leadership, coding, and prototype design and implementation.
Bachelors of Technology - CSM
CMR College of Engineering & Technology
Azure Fundamentals
Microsoft
Apr 2026MongoDB SI Associate Certification
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Jan 2026
Attendee · Oct 24, 2026