Raghuvamsi Ayapilla

Senior AI/ML Engineer and Data Architecture Leader with 15+ years of comprehensive experience spanning business analysis, agile project management, and cutting-edge AI/ML implementation. Currently serving as GitHub Copilot Champion and AI Academy Mentor at Marsh & McLennan Company. Expert in Databricks platform architecture, AI-powered automation frameworks, enterprise data engineering, and interactive dashboard innovation. Led successful platform adoptions, architected ETL pipelines processing 26,000+ items daily, pioneered AI-powered testing frameworks, and developed breakthrough sentinel value bypass pattern enabling advanced multi-select filtering across 250+ enterprise applications.

• Interactive Dashboard Innovation (Dec 2025): Built production-ready Service Maturity Dashboard in 3 days (vs months-long timeline), tracking 250+ applications across 5 critical security metrics with novel sentinel value bypass pattern enabling seamless multi-select filtering across 13 datasets and 11 interactive widgets
• Security Excellence (Dec 2025): Identified and remediated path traversal vulnerabilities through Snyk scanning, implemented multi-layer validation and input sanitization, received formal leadership recognition for security best practices and complex technical investigations
• Cross-Organizational Technical Leadership (Dec 2025): Selected by another organization to conduct technical interviews for Manager Data Science role, developed comprehensive assessment frameworks and interview guides, demonstrating recognized ML expertise across company
• Expanded Career Mentorship (Dec 2025): Mentored colleagues on confidence building, work journaling practices, and imposter syndrome, nominated for AWS Lambda training delivery, expanding technical training portfolio
• GitHub Copilot Champion: Selected as organizational AI champion, completed training delivery to AMS team, enabled Node.js migration project through Copilot tutorials, received appreciation from development manager
• Databricks Platform Leadership: Self-taught mastery leading team adoption, implementing medallion architecture processing 6,000+ applications and 20,000+ asset issues daily, created 2 of 6 assigned pipelines and enabled teammate through knowledge sharing
• AI-Powered Testing Innovation: Developed revolutionary Selenium + OpenAI API testing framework with automated Gherkin/Cucumber script generation, dynamic navigation, and element ranking algorithms
• Model Context Protocol Pioneer: First to introduce MCP technology to organization, created comprehensive Azure DevOps MCP documentation for Okta and terminal authentication, enabled organization-wide knowledge distribution
• AI Academy Mentorship: Re-selected as AI Mentor for 100+ colleagues, successfully completed mentoring for both prompt engineering and Machine Learning tracks
• Production LLM Excellence: Architected 89% accuracy ticket classification system processing 10,000+ tickets across multiple business units
• Compliance Metrics Leadership: Expanded work to DARE and SIEM compliance pipelines with comprehensive exploratory data analysis, created GitHub REST API integration notebooks

• Interactive Dashboard Architecture: Sentinel value bypass pattern innovation, multi-select filtering across 250+ applications, cross-dataset synchronization with 13 datasets, SQL innovation for conditional filtering
• Security & Code Quality: Vulnerability detection and remediation, multi-layer validation, input sanitization, path traversal prevention, security best practices implementation
• Advanced AI Integration: Selenium automation with OpenAI API, Model Context Protocol implementation, AI-powered testing frameworks, Azure DevOps MCP integration
• Data Platform Architecture: Databricks medallion architecture, JTDS connectivity, SQL Warehouse optimization, compliance metrics pipelines (DARE, SIEM), GitHub REST API integration
• Technical Leadership & Mentorship: GitHub Copilot evangelism, AI Academy mentoring (100+ colleagues), career development coaching, AWS Lambda training, cross-organizational technical interview leadership
• Enterprise Scale Solutions: ETL pipeline optimization processing 26,000+ items daily, automated business metrics, vulnerability monitoring, production LLM deployment (89% accuracy)

• Location: Louisville, KY
• Email: vamsi.ar@gmail.com
• Currently mastering: Interactive dashboard innovation with sentinel value bypass patterns, security vulnerability remediation, and next-generation AI protocol integration (MCP)
• Open to collaborating on: AI/ML engineering projects, data platform architecture, security hardening, and emerging AI technologies
• Roles: GitHub Copilot Champion | AI Academy Mentor | Databricks Platform Leader | Cross-Organizational Technical Interview Leader
• Passionate about career mentorship, confidence building, and helping engineers combat imposter syndrome through structured journaling practices

• Dashboard Innovation (Dec 2025): Sentinel value bypass pattern, multi-select filtering (11 widgets), cross-dataset synchronization (13 datasets), counter widget optimization, 5-tier color-coding systems
• Security Hardening (Dec 2025): Path traversal vulnerability remediation, multi-layer validation, input sanitization, Snyk scanning integration
• Technical Interview Leadership (Dec 2025): Structured interview guide development, candidate assessment frameworks, technical and leadership evaluation
• Career Mentorship (Dec 2025): Confidence building coaching, work journaling practices, imposter syndrome guidance, goal setting frameworks
• AI/ML Frameworks: Selenium automation with OpenAI API, Model Context Protocol (MCP), advanced LLM implementation (89% accuracy)
• Data Platforms: Databricks (medallion architecture), JTDS drivers, SQL Warehouse compute, compliance metrics pipelines (DARE, SIEM)
• Automation & Testing: AI-based smoke testing frameworks, automated Gherkin/Cucumber generation, element ranking algorithms
• Leadership Tools: GitHub Copilot (organizational champion), comprehensive training curriculum development, Azure DevOps MCP integration documentation

• Programming: Python, SQL, Git, UNIX, PySpark
• Machine Learning/AI: LLM solutions, NLP models, OpenAI API, Langchain, TensorFlow, scikit-learn, HuggingFace, Spacy
• Data Processing: DuckDB, FastAPI, ETL pipelines, MLOps, Pandas, aiohttp, requests, GitHub REST API integration
• Cloud & Infrastructure: AWS (SageMaker, S3, Lambda), Docker, Linux
• Databases: PostgreSQL, MongoDB, MySQL, SQL Server, Neo4j
• Security & Compliance: Snyk vulnerability scanning, Windows NTLM authentication, multi-layer validation, input sanitization

• AWS Certified ML Engineer Associate
• AWS Certified AI Practitioner
• TensorFlow Developer

• December 2025 - Manager Recognition - Formal email recognition for dedication and rapid delivery of Service Maturity Dashboard (3 days vs months)
• December 2025 - Leadership Recognition - Formal recognition for technical expertise in security best practices and complex technical investigations
• December 2025 - Cross-Organizational Recognition - Selected by another organization to conduct technical interviews for Manager Data Science role
• GitHub Copilot Champion - Organizational selection for AI tool leadership, received appreciation from development manager for enabling Node.js migration
• AI Academy Mentor - Re-selected for mentoring 100+ colleagues, successfully completed both prompt engineering and ML tracks
• Model Context Protocol Documentation - Recognition from ADO admin team for comprehensive MCP Azure DevOps documentation enabling organization-wide knowledge distribution
• AWS Lambda Training Nomination - Nominated to deliver AWS Lambda introduction training, expanding technical training portfolio

My GitHub Stats

Passionate about pushing the boundaries of AI/ML engineering and empowering teams through innovative technology solutions. Dedicated to technical excellence, security best practices, and helping engineers build confidence through mentorship and structured career development. Let's connect to explore collaboration opportunities in AI, data platforms, security hardening, and emerging technologies.