I build AI-powered web applications that combine LLM systems with clean, responsive frontend interfaces.
I work with semantic HTML, modern CSS, Flexbox, CSS Grid, and responsive design to build accessible layouts across devices. Alongside this, I develop LLM-based systems using tools like LangChain, RAG pipelines, and agentic workflows.
I learn by building - turning LLM systems and UI design into usable products, not isolated experiments.
Currently looking for opportunities where frontend and AI intersect - building products where both the user experience and the intelligence layer matter equally.
Frontend
Responsive Design Flexbox CSS Grid Semantic HTML
AI / Backend
LangChain RAG Groq API Pydantic HuggingFace ChromaDB Agentic Workflows
Tools
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Multi-column testimonial layout built with CSS Grid - asymmetric card sizing, responsive breakpoints, and pixel-accurate implementation from a professional design file. |
Responsive feature section using CSS Grid - card alignment across breakpoints, mobile-first layout, clean semantic structure. |
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Responsive product card with image-text split layout using Flexbox - adapts cleanly from mobile to desktop with semantic HTML structure. |
Full RAG pipeline: HuggingFace embeddings → ChromaDB → MMR retrieval → Groq LLM. End-to-end retrieval and generation wired together. |
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Multi-tool agentic assistant for real-time city queries. LangChain agent routes between weather API and news search based on query intent - tool-use routing built from scratch. |
Frontend & AI Engineer building AI-powered web applications where interface and intelligence work together as one product layer. Reach out via LinkedIn or email below.
