AI-Powered Full-Stack Developer | Frontend Specialist
📍 London, UK
I’m an AI-focused full-stack developer with 10+ years of experience building scalable, high-performance web applications — now specialising in production-ready AI systems powered by LLMs, RAG pipelines, and intelligent workflows.
I combine deep expertise in React / Next.js ecosystems with modern AI architectures to deliver end-to-end intelligent applications — from user experience to backend systems and AI integration.
My work focuses on real-world AI adoption, building systems that are scalable, measurable, and business-impact driven.
- Build AI-powered full-stack applications (LLMs, RAG, agents)
- Architect scalable frontend systems with React & Next.js
- Design data-driven and real-time platforms
- Integrate AI into production workflows
- Optimise performance, cost, and reliability of AI systems
- LLM Integration (OpenAI, Llama 3.x, Groq)
- Retrieval-Augmented Generation (RAG)
- LangChain & LangGraph workflows
- Vector Databases (FAISS)
- Prompt Engineering & Evaluation
- AI Agents & Multi-agent Systems
- AI-powered automation pipelines
- React.js, Next.js (SSR, SSG, ISR, App Router)
- TypeScript, JavaScript (ES6+)
- Redux Toolkit, React Query
- Performance optimisation (95+ Lighthouse scores)
- Node.js, Python (FastAPI)
- GraphQL, REST APIs
- Microservices architecture
- Async processing systems
- Pandas, NumPy
- Semantic search & embeddings
- Real-time data pipelines
- AWS (S3, Lambda, Cognito, Amplify)
- Vercel (AI-native deployments)
- Docker & CI/CD pipelines
- GitHub Actions / GitLab CI
- Built AI-powered platform serving 10,000+ users, reducing manual work by 60%
- Delivered 95+ Lighthouse performance scores, improving load times by 40%
- Developed real-time dashboards processing 100,000+ records
- Reduced production bugs by 45% via strong testing strategy
- Improved AI accuracy using RAG pipelines by ~28%
- Context-aware interview assistant using resumes + job descriptions
- FAISS + Sentence Transformers + LLM pipelines
- Focus on hallucination reduction
- Intelligent file organisation & semantic search
- Vector DB + embeddings + automated categorisation
- AI-powered document processing and insights extraction
- Full-stack + ML integration
- Multi-agent workflow automation using external signals
- Context-aware content generation
- LLM-powered marketing content generation system
- Real-world business use case
- Advanced RAG optimisation & evaluation
- Agentic AI workflows (LangGraph, multi-agent systems)
- Cost-efficient LLM architectures
- Production-grade AI system design
- LinkedIn: https://www.linkedin.com/in/shankar-singh-aswal-225a4214/
- GitHub: https://github.com/shankaraswal
⭐ Open to AI Engineering, Full-Stack AI, and Senior Frontend (AI-focused) opportunities in the UK