Pankaj Verma
Lead Principal Software Engineer @LexisNexis Risk Solutions
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WORK HISTORY
Lead Principal Software Engineer @LexisNexis Risk Solutions
Managed end-to-end development of an AI Discovery Solution and RAG chatbot using C#/.NET 8 and Angular; leveraged Semantic Kernel and MCP to build Cloud-native Architectures and advanced pipelines, capturing 10% additional market share.
EDUCATION
Shri Ram Murti Smarak College of Engineering and Technology, Bareilly (U
B.Tech, Computer Science and Engg
SRMSCET
Bachelor of Technology, Computer Engineering
BITS Pilani
MS, Software systems
BITS-PILANI
Master of Science, Computer Software Technology/Technician
SKILLS
ABOUT PANKAJ VERMA
Principal Developer & Solution Architect | Multi-Cloud (AWS & Azure)| AI & IAMI am a hands-on technical leader with 20+ years of experience bridging the gap between complex architectural design and high-performance production code. I thrive as a \"Player-Coach,\" driving enterprise-grade multi-cloud strategies while remaining deeply embedded in daily coding across C#, Node.js, and Python.My current focus is the \"Modern Secure Stack\": the intersection of Enterprise Identity (Auth0/IAM), Big Data (Snowflake/Databricks), and Agentic AI (RAG/MCP). Whether I am leading the global migration of hundreds of applications to Auth0 or architecting brand-new AI discovery platforms, I ensure every solution is resilient, secure, and future-proof. Strategic ExpertiseAI & Orchestration: Architecting scalable RAG applications using Semantic Kernel, Gemini/GPT-4, and MCP (Model Context Protocol). I implement LLM Gateways (Portkey) for advanced governance, prompt injection defense, and rate limiting.Identity & Security: Expert-level Auth0 integration and IAM architecture. I lead \"Open Design\" initiatives to standardize OIDC, SAML, and OAuth 2.0 across distributed microservices.Data & Semantic Intelligence: Designing end-to-end pipelines via Azure Data Factory, Databricks, and Snowflake. I specialize in Hybrid Search—combining Neo4j (Graph DB) with Azure AI Search and Elastic Search for high-precision semantic retrieval.Multi-Cloud Engineering: Building high-scale microservices on AWS (EKS/Lambda) and Azure, utilizing Terraform for IaC and Kubernetes/Istio for service mesh orchestration. Technical CoreLanguages: C#, Node.js, Python, SQL, JavaScript, Lua.AI Stack: Semantic Kernel, RAG, A2A Protocols, MCP Servers, Vector Embeddings.Cloud/DevOps: AWS, Azure, Kubernetes, Terraform, Docker, Istio, Portkey.Data: Neo4j (Graph), Snowflake, Databricks, SQL Server, MongoDB, DynamoDB, RediSearch.Identity: Auth0, IAM, SSO, OIDC, OAuth 2.0.
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