Raghuvamsi Ayapilla
Senior AI/ML Engineer and Data Architecture Leader with 11+ years of technical leadership experience. Currently serving as GitHub Copilot Champion and AI Academy Mentor at Marsh & McLennan Company. Expert in Databricks platform architecture, AI-powered automation frameworks, and enterprise data engineering. Led successful platform adoptions, architected ETL pipelines processing 26,000+ items daily, and pioneered AI-powered testing frameworks that revolutionize quality assurance processes.
- GitHub Copilot Champion: Selected as organizational AI champion, developing comprehensive training programs and establishing enterprise AI-assisted coding standards
- Databricks Platform Leadership: Self-taught mastery leading team adoption, implementing medallion architecture processing 6,000+ applications and 20,000+ asset issues daily
- AI-Powered Testing Innovation: Developed revolutionary Selenium + OpenAI API testing framework, reducing manual testing effort by 70% with automated Gherkin/Cucumber script generation
- Dashboard Innovation & Training: Introduced Databricks dashboards to team with comprehensive training, created production monitoring for Snyk and WhiteHat vulnerabilities
- Model Context Protocol Pioneer: First to introduce MCP technology to organization, positioning team at forefront of next-generation AI tool integration
- AI Academy Mentorship: Re-selected as AI Mentor for 100+ colleagues, demonstrating sustained technical leadership and knowledge transfer excellence
- Production LLM Excellence: Architected 89% accuracy ticket classification system processing 10,000+ tickets across multiple business units
- Enterprise ETL Optimization: Engineered high-performance data processing reducing runtime from 16+ hours to 2 hours through advanced optimization strategies
- Advanced AI Integration: Selenium automation with OpenAI API, Model Context Protocol implementation, AI-powered testing frameworks
- Data Platform Architecture: Databricks medallion architecture, JTDS connectivity, SQL Warehouse optimization, comprehensive dashboard development
- Technical Leadership: GitHub Copilot evangelism, AI tool adoption strategies, team training and development, emerging technology integration
- Enterprise Scale Solutions: ETL pipeline optimization, automated business metrics, vulnerability monitoring, production LLM deployment
- π I'm based in Louisville, KY
- βοΈ You can contact me at vamsi.ar@gmail.com
- π§ I'm currently mastering Databricks, Model Context Protocol (MCP), and AI-powered testing frameworks
- π€ I'm open to collaborating on AI/ML engineering projects, data platform architecture, and emerging AI technologies
- π GitHub Copilot Champion | AI Academy Mentor | Databricks Platform Leader
- AI/ML Frameworks: Selenium automation with OpenAI API, Model Context Protocol (MCP), advanced LLM implementation
- Data Platforms: Databricks (medallion architecture), JTDS drivers, SQL Warehouse compute
- Automation & Testing: AI-based smoke testing frameworks, automated Gherkin/Cucumber generation
- Leadership Tools: GitHub Copilot (organizational champion), comprehensive training curriculum development
- Programming: Python, SQL, Git, UNIX
- Machine Learning/AI: LLM solutions, NLP models, OpenAI API, Langchain, TensorFlow, scikit-learn
- Data Processing: DuckDB, FastAPI, ETL pipelines, MLOps, Pandas
- Cloud & Infrastructure: AWS (SageMaker, S3, Lambda), Docker, Linux
- Databases: PostgreSQL, MongoDB, MySQL, SQL Server, Neo4j
- AWS Certified ML Engineer Associate
- AWS Certified AI Practitioner
- TensorFlow Developer
- GitHub Copilot Champion - Organizational selection for AI tool leadership
- AI Academy Mentor - Re-selected for mentoring 100+ colleagues
- Multiple Management Recognition - Technical contributions and knowledge sharing
My GitHub Stats
Passionate about pushing the boundaries of AI/ML engineering and empowering teams through innovative technology solutions. Let's connect to explore collaboration opportunities in AI, data platforms, and emerging technologies. s