Raghuvamsi Ayapilla

Lead Systems Solution Architect (AI/ML) with 15+ years of comprehensive experience spanning business analysis, agile project management, and cutting-edge AI/ML implementation. Promoted to Lead Systems Solution Architect (Principal-level) in February 2026 at Marsh, recognizing technical leadership, AI/ML innovation, and enterprise-scale impact. Elevated to GitHub Copilot Champion of Champions with enterprise-wide leadership and official company training materials. Expert in Databricks platform architecture, AI-powered automation frameworks, enterprise data engineering, and interactive dashboard innovation. Included in higher leadership discussions by department leader for strategic initiatives. Architected ETL pipelines processing 26,000+ items daily, pioneered knowledge graph innovation, and delivered production dashboards actively used by managers for compliance monitoring and application maintenance decisions.

• Promoted to Lead Systems Solution Architect (Feb 2026): Elevated to Principal/Staff-level at Marsh, recognizing 2025 technical leadership, AI/ML innovation, and enterprise-scale impact
• GitHub Copilot Champion of Champions (Jan 2026): Elevated from department-level champion to enterprise-wide leadership, creating "lead for new leads" model; training material adopted as official company material on SharePoint; delivered 2 enterprise-wide training sessions
• Knowledge Graph & Hackathon Innovation (Jan-Feb 2026): Built Neo4j knowledge graph + LLM chatbot converting relational database into application insights; cleared hackathon round 1, presented round 2; vision for multi-source intelligence platform (Snyk + ADO + Git Guardian + CAST Health)
• Production Incident Leadership (Feb 2026): Led Databricks domain migration (@mmc → @marsh) after company rebrand broke all pipelines; resolved with Databricks support in 3 days (vs 1-week estimate), minimizing downtime for team and leadership
• SIEM Semi-Automated ETL (Feb 2026): Designed two-stage ETL for security-constrained environments — local pandas preprocessing + Databricks PySpark medallion architecture (bronze → silver → gold); dashboard reliably updated with correct compliance data
• Knowledge Graph AI Agent Platform (Mar 2026): Post-hackathon, independently launched org-wide AI insight platform — v1 with Neo4j + CrewAI multi-agent router (direct vs. decomposed query handling) + Streamlit chatbot; expanded to 5 data sources (CAI, SNYK, GitGuardian, ATOM, CAST)
• Applications Clustering on Databricks (Mar 2026): Delivered the first end-to-end ML solution on Databricks — clustering applications by security posture across 5 data sources; ML strategy (clustering → vulnerability prediction) defined, advocated, and approved by leadership
• SAST/DAST Vulnerability ML Analysis (Apr 2026): Applied KMeans + Isolation Forest + Pareto analysis to 12 months of security vulnerability data for a new cross-team stakeholder domain; identified 15 applications = 80% of total vulnerabilities — engagement arrived unsolicited, signaling compounding ML reputation
• Department AI Experimentation Cohort (Apr 2026): Selected as 1 of 12 (from 200+) colleagues for department-wide AI Experimentation initiative — formal competitive recognition of AI/ML expertise
• Technowledgement Peer Nomination (Apr 2026): Peer-nominated for company Technowledgement award recognizing bleeding-edge AI/ML knowledge sharing and colleague support
• CTO AI Vibe Coding Partner (Mar 2026): Specifically requested by CTO's office as buddy for company-wide AI townhall; live GitHub Copilot session produced working app within 2 hours — highest executive visibility earned to date
• Higher Leadership Inclusion (Jan 2026): Department leader requested inclusion in all higher leadership discussions; nominated for AWS Lambda leaders call and potential handoff; reviewed architecture and scoped team tasks
• Anthropic Agent Skills Pioneer (Jan 2026): Introduced Agent Skills to team with live demo; enterprise GitHub Copilot team requested material for enterprise repository contribution; recording shared company-wide
• CAST Highlight MCP UAT (Jan 2026): Performed UAT testing of MCP server for enterprise adoption; shared UAT report enabling company-wide CAST Highlight MCP deployment
• Cross-Role Interview Leadership (Jan 2026): Interviewed 3 Software Engineering candidates — created materials, conducted assessments, recommended best fit; expanded from DS/ML to SWE assessment
• Service Maturity Dashboard Adoption (Jan 2026): Dashboard evolved into production use by leaders across multiple teams for application maintenance and decision-making; tracks 250+ applications across 5 security metrics
• Databricks Documentation Impact (Jan 2026): Prior documentation drove cross-team adoption — teams scheduled calls to learn SQL Server and ServiceNow connection patterns; thanked for "futuristic thinking"

• Enterprise Architecture & Leadership: Lead Systems Solution Architect role, higher leadership inclusion, CTO-level visibility, strategic initiative decision-making, AWS Lambda architecture reviews
• Enterprise AI Adoption: Champion of Champions model, official company training materials, Anthropic Agent Skills evangelism, CAST Highlight MCP enterprise rollout, enterprise AI drop-in sessions, responsible AI tooling adoption (CodeGuard, Opencode)
• Cross-Team ML Advisory: Applying domain-agnostic ML (KMeans, Isolation Forest, Pareto) across new stakeholder domains; cross-team data science reputation compounding from prior visible work
• Knowledge Graph & Multi-Agent AI: CrewAI multi-agent router pattern (direct + decomposed query handling), Neo4j + LLM chatbot, 5-source org-wide intelligence platform (CAI, SNYK, GitGuardian, ATOM, CAST)
• ML on Databricks: First end-to-end ML solution on Databricks (applications clustering), ML strategy definition and advocacy (clustering → vulnerability prediction roadmap), distributed compute for security posture analysis
• Data Platform Architecture: Databricks medallion architecture, semi-automated ETL for security-constrained environments, Unity Catalog volume management, production dashboard delivery
• Technical Mentorship & Leadership: AI Academy mentoring (100+ colleagues), Databricks ETL onboarding/knowledge transfer, enterprise Copilot drop-in sessions, cross-role technical interview leadership

• Location: Louisville, KY
• Email: vamsi.ar@gmail.com
• Currently mastering: Knowledge graph intelligence platforms, enterprise AI adoption at scale, and semi-automated ETL for security-constrained environments
• Open to collaborating on: AI/ML engineering projects, data platform architecture, knowledge graphs, and emerging AI technologies
• Roles: Lead Systems Solution Architect | GitHub Copilot Champion of Champions | AI Academy Mentor | Cross-Role Interview Leader
• Passionate about career mentorship, confidence building, and helping engineers combat imposter syndrome through structured journaling practices

• Enterprise Architecture (Feb 2026): Lead Systems Solution Architect (Principal-level), AWS Lambda architecture review, strategic handoff scoping, higher leadership decision-making
• Knowledge Graphs (Jan-Feb 2026): Neo4j knowledge graph + LLM chatbot, relational-to-graph conversion, multi-source intelligence platform design (Snyk + ADO + Git Guardian + CAST Health)
• Semi-Automated ETL (Feb 2026): Two-stage ETL (local pandas + Databricks PySpark), Unity Catalog volume management, medallion architecture (bronze/silver/gold), policy-compliant data ingestion
• Platform Operations (Feb 2026): Databricks domain/principal account migration (@mmc → @marsh), ServiceNow incident management, production pipeline recovery
• Multi-Agent AI & Knowledge Graphs (Mar 2026): CrewAI multi-agent router (direct answer vs. decomposed multi-step), Neo4j multi-source graph schema (CAI, SNYK, GitGuardian, ATOM, CAST), Streamlit enterprise chatbot UI
• ML on Databricks (Mar 2026): Applications clustering pipeline (end-to-end, distributed compute), clustering algorithm selection, feature engineering across security data sources, ML strategy advocacy (clustering → vulnerability prediction roadmap)
• Application Security Analytics (Apr 2026): KMeans clustering + Isolation Forest anomaly detection + Pareto concentration analysis applied to SAST/DAST vulnerability data; cross-domain ML generalization
• AI Security Tooling (Apr 2026): CodeGuard (YARA-rule AI code scanning), Opencode CLI (GitHub Copilot-backed Claude Code alternative), enterprise security review routing for responsible AI adoption
• Spec-Driven Development (Apr 2026): GitHub Spec Kit structured AI engineering workflow — specification → planning → task decomposition → testing → review → execution
• Enterprise AI Tools (Jan 2026): Anthropic Agent Skills, CAST Highlight MCP UAT, Champion of Champions training delivery, official company material authoring
• AI/ML Frameworks: LLM deployment (89% accuracy), OpenAI API, CrewAI multi-agent framework, Model Context Protocol (MCP), Selenium AI automation, Langchain
• Data Platforms: Databricks (medallion architecture, interactive dashboards), JTDS drivers, SQL Warehouse compute, compliance metrics pipelines (DARE, SIEM)
• Leadership Tools: GitHub Copilot Champion of Champions, enterprise training curriculum, cross-role technical interviews (DS/ML/SWE)

• Programming: Python, SQL, Git, UNIX, PySpark
• Machine Learning/AI: LLM solutions, NLP models, OpenAI API, CrewAI, Langchain, TensorFlow, scikit-learn, HuggingFace, Spacy, Knowledge Graphs, Clustering Algorithms
• Data Processing: DuckDB, FastAPI, ETL pipelines, MLOps, Pandas, aiohttp, requests, GitHub REST API integration, Neo4j
• 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, SIEM compliance monitoring

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

• April 2026 - AI Experimentation Cohort - Selected as 1 of 12 (from 200+) colleagues for department AI Experimentation initiative — formal, competitive recognition of AI/ML expertise
• April 2026 - Technowledgement Peer Nomination - Peer-nominated for Technowledgement award recognizing bleeding-edge AI/ML knowledge sharing and active colleague support
• April 2026 - Cross-Team ML Advisory - Applications maintenance leader approached unsolicited for SAST/DAST data science analysis; applied KMeans + Isolation Forest + Pareto; 15 apps = 80% of vulnerabilities surfaced
• March 2026 - CTO Visibility - Specifically requested by CTO's office as AI vibe coding partner for company-wide townhall; live Copilot session produced working app within 2 hours
• March 2026 - ML Strategy Approved - Defined and advocated Databricks ML strategy (clustering → vulnerability prediction); approved by manager and immediately validated by senior department leader
• March 2026 - First ML on Databricks - Delivered first end-to-end ML solution on Databricks (applications clustering); senior leader immediately requested extension for CVE-specific visibility
• March 2026 - Knowledge Graph Org Platform - Post-hackathon Knowledge Graph AI agent expanded to 5 data sources; CrewAI multi-agent routing enabling natural-language queries for non-technical stakeholders
• February 2026 - Promotion - Promoted to Lead Systems Solution Architect (Principal/Staff-level) in recognition of technical leadership, AI/ML innovation, and enterprise-scale impact
• February 2026 - Production Incident Leadership - Databricks domain migration resolved in 3 days (vs 1-week estimate); team and leadership unblocked
• February 2026 - Enterprise Training - 2 enterprise-wide "Introduction to Copilot" sessions delivered; practice material adopted as official reference on company SharePoint
• February 2026 - Hackathon - Knowledge graph project cleared round 1; presented round 2 to leadership
• January 2026 - Champion of Champions - Elevated to enterprise-wide GitHub Copilot leadership; training material is official company material (kudos on enterprise website)
• January 2026 - Higher Leadership Inclusion - Department leader requested inclusion in all higher leadership discussions; nominated for AWS Lambda leaders call
• January 2026 - Enterprise AI Leadership - Agent Skills material requested for enterprise repo contribution; CAST Highlight MCP UAT enabling company-wide deployment
• January 2026 - Cross-Team Impact - Databricks documentation drove cross-team adoption; teams thanked for "futuristic thinking"
• January 2026 - Manager Recognition - "Thank you for staying ahead of the curve" for hackathon idea and Agent Skills innovation

My GitHub Stats

Lead Systems Solution Architect passionate about pushing the boundaries of AI/ML engineering and empowering teams through innovative technology solutions. Dedicated to enterprise-scale impact, knowledge graph innovation, and helping engineers build confidence through mentorship and structured career development. Let's connect to explore collaboration opportunities in AI, data platforms, knowledge graphs, and emerging technologies.