Pankaj Verma — Skills & Tech Stack
✎ A detailed breakdown of technologies, frameworks, and developer tools used by Pankaj Verma (ivpankaj).
Pankaj Verma uses a production-proven stack built on modern JavaScript/TypeScript, serverless and microservice architectures, and AI model integrations.
Frontend Frameworks & Libraries
Next.js 16
Used by Pankaj Verma for App Router, React Server Components, ISR, static page generation, and SEO optimization.
React 19
Used by Pankaj Verma for building dynamic client state UI, interactive hooks, Suspense boundaries, and clean component systems.
TypeScript
Enforced across all codebases for strict type safety, contract clarity, and zero runtime interface crashes.
Tailwind CSS
Leveraged for rapid utility-first responsive styling, custom theme configurations, and zero-runtime CSS footprint.
Backend & API Architecture
Node.js
Event-driven asynchronous runtime used by Pankaj Verma for backend microservices, webhooks, and REST/GraphQL APIs.
Express.js
Lightweight backend framework for routing middleware, rate limiting, JWT authentication, and file processing.
RESTful & GraphQL APIs
Architecting clean, versioned public and internal API specs with strict OpenAPI contract definitions.
AI & Machine Learning Integration
OpenAI & Claude API Gateways
Integrating LLM text completions, function calling, vision models, and streaming SSE API responses.
Vector Database Embeddings
Implementing vector search retrieval (RAG) for AI application document grounding and contextual answers.
AI Webhooks & Agents
Building asynchronous AI pipeline workers and automated task execution agents.
Databases & In-Memory Stores
MongoDB
NoSQL document database used for dynamic JSON schema storage, aggregation pipelines, and high concurrency.
PostgreSQL
Relational SQL database for transactional ACID consistency, complex indexing, and structured data schemas.
Redis
In-memory key-value store used for session tokens, API rate-limit throttling, and query result caching.
Cloud, DevOps & Tools
Docker
Containerizing web applications and microservices for consistent deployment environments across staging and production.
Google Cloud (GCP)
Hosting compute instances, storage buckets, and serverless Cloud Run functions.
Nginx
Configuring reverse proxying, SSL termination, and static asset caching on Linux servers.
GitHub Actions
Automating continuous integration (CI) test execution and automated production deployments.