🔷 PSM Certified Agile Leader & Test Automation Architect (13+ years SDLC)
Architecting enterprise automation workflows fueled by Generative AI (RAG, LLMs) and cloud-native infrastructure. Expert Python/C# developer building AI/ML pipelines for intelligent testing. Delivered 40% efficiency gain, 30% faster releases, and containerized parallel test execution. Known for bridging complex business systems with modern automation, driving quality at scale.
Architect-Level Experience
- Designed and deployed enterprise automation workflows using Python, RAG systems & LLMs on AWS; integrated prompt engineering to generate accurate AI responses — boosted architectural efficiency by 40%.
- Built scalable test tools & AI-driven automation capabilities for Enterprise Architecture org, enforcing SDLC best practices in Agile environment.
- Constructed complex automations bridging legacy systems with microservices, serving as primary technical resource for AI troubleshooting.
- Developed modern AI/ML pipelines for intelligent automation, specializing in prompt optimization & GenAI evaluation → reduced time-to-market by 30%.
- Delivered enterprise SaaS solutions leveraging AWS, data pipelines and containerized test execution.
- Led cross-functional technical strategy, aligning automation with high-growth business goals.
- Mercedes-Benz R&D: Architected Python + AWS test automation for EV routing algorithms, validating 1500+ edge cases to reduce range anxiety in next-gen telematics.
- Emirates NBD: Led test automation architecture for digital banking channels (cheque processing, secure API endpoints) using Docker and parallel execution.
- Implemented Docker containerization to orchestrate parallel automation environments, cutting execution time by 50%.
- Engineered test automation layers for Hexagon PPM & Fusion using Python & C#, integrated into Agile SDLC pipelines.
- UK Insurance Automation: Designed and executed complex automation workflows for a leading UK Health and Life Insurance provider, integrating heavily with existing business workflows.
- Increased test coverage by 40% through strategic automation of critical insurance policy lifecycle processes.
- Applied standard methods and techniques to analyze, design, and maintain robust telecommunication systems.
- Performed system upgrades and resolved technical issues to ensure high network availability.
Flagship QA Automation & AI Projects
Cloud-native platform leveraging Generative AI and RAG to auto-generate test scripts, optimize regression suites, and synthesize intelligent test data. Built with modern SDLC and container orchestration.
Automated validation of EV routing algorithms under extreme conditions, reducing range anxiety and improving telematics accuracy by 35% through cloud-based parallel execution.
End-to-end automation for high-security cheque transaction endpoints, reducing manual effort by 70% and ensuring PCI compliance with robust test pipelines.
Internal framework for prompt regression testing and optimization across 3 product lines, ensuring GenAI output quality and reducing hallucination rates.
Education
- 🎓 Mastering AI & Data Science – IIT (ISM) Dhanbad (2026)
- 📘 MBA (Marketing) – Andhra University (2025)
- 📡 B.Tech ECE – JNTU (2013)
Methodologies & Tools
- ✅ Agile · PSM I · Scrum
- ✅ Shift-Left · Service Virtualization
- ✅ CI/CD · GitOps · Infrastructure as Code