Senior Full Stack Engineer with 4+ years of experience building scalable web platforms, AI-powered products, and data-heavy dashboards used in real production environments.
I specialize in designing frontend architectures, building backend APIs, and integrating LLM-based AI features with a strong focus on performance, maintainability, and real-world impact.
- Build scalable frontend systems using React, Next.js, TanStack Query
- Design clean, performant UI architectures with Tailwind & Shadcn
- Develop backend APIs using Node.js, Express, and Python, FastAPI
- Integrate LLMs, agentic AI, and intelligent workflows for document analysis, conversational systems, and task automation
- Optimize performance, data flow, and system reliability
- Own features end-to-end from architecture to production
- React, Next.js (App Router & Pages)
- State management and server caching
- Component-driven architecture
- Performance optimization & memoization
- Responsive, production-grade UI systems
- Node.js, Express, Python, FastAPI
- REST APIs & authentication flows
- Secure API gateways and service integration
- Data validation and error handling
- LLM integration for chat, summarization, and scoring
- Prompt engineering for structured outputs
- Document parsing and AI-driven analysis
- Streaming responses and async workflows
- Production-focused AI feature design
- PostgreSQL, MongoDB, SQLite
- Deck.gl, Google Maps APIs
- Real-time dashboards and analytics
- Large dataset rendering and optimization
- Dockerized applications
- CI/CD pipelines
- Git-based workflows
- Production deployments and monitoring
Production-ready NPM package for analyzing dependency size, impact, and optimization insights in JavaScript projects.
Secure client-side storage utility with encryption and session safety, designed for real-world web applications.
Dashboard to track API uptime, latency, failures, and health status with clean UI and structured error reporting.
👉 View all repositories:
https://github.com/abhishekayu?tab=repositories
- Designed and owned frontend architecture for enterprise dashboards
- Integrated LLM-powered features into production systems
- Built interactive data-heavy UIs with maps and charts
- Improved performance and scalability of existing platforms
- Mentored developers and reviewed architectural decisions
- Shipped LLM + agentic AI workflows for document intelligence and automation
- Built RAG-based document chat with retrieval tuning and grounded outputs
Languages:
JavaScript, TypeScript, Python
Frontend:
React, Next.js, TanStack Query, Tailwind CSS, Shadcn, Ant Design
Backend:
Node.js, Express, Python, FastAPI
AI / LLM:
Agentic workflows, Tool calling, RAG (embeddings + retrieval), Prompt engineering, Structured outputs, Evals/monitoring
Databases:
PostgreSQL, MongoDB, SQLite
DevOps:
Docker, Git, CI/CD
- Portfolio: https://portfolio-nu-eight-76.vercel.app/
- LinkedIn: https://www.linkedin.com/in/abhishek-ayu/
- GitHub: https://github.com/abhishekayu
- Email: [email protected]