Senior Frontend & Full-Stack Developer / Consultant
Currently transitioning into AI Engineering
📍 London, UK

A digital technologies professional with 10+ years of experience designing, building, and delivering scalable web and application platforms.

My core expertise lies in modern frontend architecture, full-stack application development, and cloud-based systems. Alongside my established engineering background, I am currently expanding into AI Engineering, building hands-on AI-powered systems and production-style proof-of-concepts.

I focus on building end-to-end applications — combining strong user experience, scalable backend systems, and intelligent AI capabilities.

Experienced in building scalable, performance-focused web applications and enterprise digital platforms across frontend and backend systems.

• React.js
• Next.js
• TypeScript
• JavaScript
• Redux / Redux Toolkit
• HTML5
• CSS3

• Node.js
• Python
• FastAPI
• GraphQL
• React Native

• Strapi
• Contentful
• WordPress
• Drupal
• Joomla

• MySQL
• MongoDB
• PostgreSQL

• Tailwind CSS
• Material UI
• Bootstrap
• Foundation
• jQuery

• Jest
• React Testing Library
• Cypress
• Enzyme
• Storybook

• GitHub Actions
• GitLab CI/CD
• Docker
• Git

• AWS
• Vercel

Over the past year, I have been actively building AI-powered applications and production-style POCs, combining my full-stack experience with modern AI architectures.

My work focuses on practical AI adoption — integrating LLMs, retrieval systems, and intelligent workflows into real applications.

• LangChain
• FAISS
• Sentence-BERT
• OpenAI GPT
• Groq Llama 3.x
• FastAPI
• Supabase
• Docker
• Vercel

Personalised interview preparation system using resumes and job descriptions.

• Semantic search with FAISS + Sentence-BERT
• Context-aware generation
• Hallucination reduction techniques

Computer vision-based similarity detection.

• Perceptual hashing and ML embeddings
• ResNet, CLIP, FAISS
• Electron + Python architecture

Context-aware automation using trends and external signals.

• Multi-agent orchestration
• AI-assisted workflow automation

Reasoning-based AI pipeline.

• Thinker → Generator LLM architecture
• Constraint validation and optimisation

Adaptive learning and analytics platform.

• FastAPI backend with async processing
• Planned LLM integration phase

Streaming AI chat implementation using modern React architecture.

Multi-model real-time chatbot with streaming and cost tracking.

➡️ See repositories for architecture details, demos, and implementation notes.

• RAG optimisation & hallucination reduction
• Agentic AI workflows
• Cost-efficient LLM architectures
• AI + Full-stack system design
• Production-ready AI integrations

• LinkedIn: https://www.linkedin.com/in/shankar-singh-aswal-225a4214/
• GitHub: https://github.com/shankaraswal

Passionate about building scalable systems, continuous learning, and evolving modern web engineering into AI-powered applications.