Vinod Puchcha

Specialization: ATM Client Software, and .NET/C++ Architecture.

• AI-Powered Automation: Engineered an AI-driven JIRA automation system using LLMs that reduced manual log analysis effort by 90%, significantly accelerating ticket transitions from triage to root-cause analysis.
• Development Velocity: Integrated GitHub Copilot into the secure SDLC, reducing post-deployment defects by 30%, and increasing PR review velocity by 20% across C++ and .NET modules.
• Scalable Architecture: Spearheaded the development of ATM client software, achieving 90% feature delivery efficiency within PI timelines through modern C++ standards and CEN/XFS compliance.
• Security & Reliability: Sustained 100% compliance with secure SDLC practices, and managed high-security signed release packages, ensuring 24/7 availability for global financial institutions.
• Predictive Maintenance: Designed a prototype for AI-based anomaly detection in ATM platforms, enabling proactive issue identification and reducing potential downtime by 25%.

CLIENT: L3HARRIS PSPC (USA)

Specialization: Mission Critical Push-to-Talk (MCPTT)

• Protocol Integration: Developed third-party communication interfaces using C++, Python, and JSON over TCP/IP sockets for high-reliability radio firmware on Linux platforms.
• Feature Engineering: Implemented Mission Critical Push-to-Talk (MCPTT) features using MVC architecture, providing secure, low-latency communication for international public safety radio models.
• Automated Validation: Conducted rigorous unit testing using Google Mock, and implemented XML-based configuration parsing, reducing manual testing cycles by 15%.

CLIENT: Ericsson (Sweden).

Specialization: Protocol Stack Development (SIGTRAN/SS7).

• Protocol Engineering: Engineered SIGTRAN (SS7 and SCTP) protocol stacks on PowerPC boards for MSC, BSC, and HLR nodes, ensuring high-availability signaling in the Ericsson AXE platform.
• Network Virtualization: Led virtualization initiatives by implementing Virtual RP in telecom nodes, enhancing system scalability, and hardware efficiency.
• Root Cause Diagnosis: Optimized system stability by resolving complex core dumps and system logs under strict SLA constraints for high-priority trouble reports.