GenAI Engineering
LLM-powered applications, MCP (Model Context Protocol) servers, and Copilot-driven automation built as real, deployable software.
About Pankaj
An AI engineer who ships the tooling and gets teams using it.
I help engineering teams adopt, configure, and troubleshoot AI developer tools, and I build AI-powered automation, MCP servers, and Copilot-driven tooling as production software. My work sits where GenAI, developer experience, and measurable business outcomes meet. Remote-first, open to hybrid or on-site.
Developer Experience
Automating onboarding, environment setup, and repetitive workflows so teams spend hours on product, not plumbing.
AI Adoption & Support
Copilot rollout, configuration, and troubleshooting, with prompt-engineering coaching and AI Champion enablement that move a whole team from curious to certified.
Full-Stack Delivery
10+ years shipping production React/Next.js, TypeScript, and cloud-deployed apps, the foundation that makes AI features real.
Core Stack
The toolkit I use to build and ship AI-powered software.
My focus is on practical GenAI engineering: LLM-powered applications, MCP servers, and Copilot-driven automation that remove manual steps from real workflows. I treat AI features as production software: designed, tested, deployed, and adopted.
That AI work stands on 10+ years of full-stack delivery. I build React/Next.js applications in TypeScript, connect them to modern APIs, and ship them with automated CI/CD, containerized builds, and cloud hosting on Azure or Google Cloud.
I also drive AI adoption directly. As an AI Champion I ran weekly Copilot and prompt-engineering sessions, supported engineers through setup, configuration, and usage issues, and enabled 17+ engineers to earn AI White Belt certification. Building the tool is only half the value; getting a team to actually use it is the other half.
I balance capability, reliability, and cost so every solution is strong technically and viable for the business, with guardrails, quality gates, and documentation that let teams own it after launch.
AI & GenAI
GitHub CopilotMicrosoft 365 CopilotMCP (Model Context Protocol)AI Agents / Agentic WorkflowsRAG (Retrieval-Augmented Generation)Azure OpenAIAzure AI SearchMicrosoft Agent FrameworkPrompt EngineeringLLM Application DevelopmentResponsible AIAI Adoption & Enablement
Machine Learning & MLOps
Machine Learning on Google CloudMLOps (Vertex AI)BigQuery MLVertex AI Notebooks
Cloud & Infrastructure
AzureGoogle CloudAzure DevOpsAzure App ServiceVercel
Frontend Core
ReactNext.jsTypeScriptTailwind CSSCSS Modules
State Management
Reduxredux-sagaReact QueryContext API
Backend & APIs
Node.jsPythonREST APIsJSON-RPCGraphQLPostgreSQL
DevOps & CI/CD
DockerPowerShell AutomationAzure PIM / RBACGitHub ActionsAzure Pipelines
Testing & Quality
JestReact Testing LibraryPlaywrightCypressESLintLighthouseAccessibility (WCAG)
Tools & Monitoring
VS CodeGitGitHubFigmaPostmanApplication InsightsSentry
Recognition
Awards and recognition for practical AI innovation.
AI Champion
Microsoft Xbox account: drove org-wide AI adoption and weekly Copilot enablement.
CodeRush 2026 Finalist
IncidentIQ selected in the Top 6 of 70+ submissions.
AI White Belt Certification
Certified, and enabled 17+ engineers to earn the same.
Client & Internal Recognition
Multiple awards from Tech Mahindra leadership, and direct appreciation from Microsoft stakeholders.
Certifications
Backed by hands-on AI, ML, and cloud training.
A focused learning track across Generative AI, MLOps, and Google Cloud, completed through Tech Mahindra and Google Cloud Skills Boost, alongside core engineering and ways-of-working certifications.
AI & GenAI
GitHub Copilot Certification (2026)AI White BeltPrompt Engineering for Everyone (2025)Introduction to Generative AIIntroduction to Large Language ModelsIntroduction to AI & ML on Google CloudAI for BeginnersClaude Code 101
ML & MLOps (Google Cloud)
MLOps: Getting StartedMLOps for Generative AIMLOps with Vertex AI Model EvaluationCreate ML Models with BigQuery MLEngineer Data for Predictive Modeling with BigQuery MLPrepare Data for ML APIs on Google CloudWorking with Notebooks in Vertex AI
Cloud & Programming
Google Cloud Computing FoundationsPython Programming (2025)Frontend Development with ReactJSUI Development with ReactJSWeb Programming
Ways of Working
Scrum Master with JiraMax Personal Effectiveness
10+ yrs
production engineering across full-stack and AI tooling
80+ hrs
saved per developer through AI-powered onboarding automation
17+
engineers enabled to AI White Belt certification as AI Champion