Sumat
Mallick
Engineering Digital Intelligence.
About the Architect
Sumat is a software engineer with 2 years of experience in full-stack and GenAI development. Skilled in React, Next.js, Python, LLMs, RAG, and cloud tools like AWS and Azure. Passionate about building intelligent systems and creating seamless user experiences through modern web technologies.
The Trajectory
A condensed view of my professional evolution from legacy infrastructures to AI-native distributed architectures.
Capria India
E2 Engineer - Promoted to E2
Working as a Generative AI Developer at Capria.vc, designing and deploying AI-driven tools and prototypes to support portfolio companies and scale operations. Building AI workflows using n8n,make.com, langchain, and various LLMs to automate tasks and enhance productivity.
Capria India
Applied AI Developer
Built and tested AI solutions using OpenAI and Anthropic models; contributed to rapid prototyping and early product integrations. Building RAG systems for internal use cases.
Technical Blueprints
The foundational vectors of my engineering architecture.
AI & Intelligence
Logic & Systems
Infrastructure & UI
Featured Orchestrations
High-impact engineering artifacts demonstrating technical depth and architectural precision.
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SPARTAN
Spartan is a sophisticated men's fashion e-commerce platform specializing in custom formal wear. The primary goal was to bridge the gap between ready-made clothing and tailored precision. Key features include a dynamic personalization engine where users can select fabrics, pocket styles, and collar types with real-time feedback. Built using React and Chakra UI, the project emphasizes a sleek, minimalist aesthetic and an intuitive user journey from selection to checkout.
AROMA
AROMA is a high-fidelity clone of the Zomato landing page, built to demonstrate pixel-perfect UI implementation and complex layout management. Leveraging React and Tailwind CSS, the project features dynamic search bars, restaurant category filtering, and interactive cards. The backend integration with Node.js and MongoDB allows for persistent data handling, showcasing the ability to build and deploy a full-featured, responsive food-tech application from scratch.
Recent Thoughts
Deep-dives into the architecture of elegance.
Antigravity + Stich Combo for Website building
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What Is Retrieval-Augmented Generation (RAG) in 2026?
A clear, 2026-ready explanation of Retrieval-Augmented Generation (RAG), why it matters, how it works, and how it is used in modern AI products.
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VibeCode + Supabase: A Full-Stack Workflow Integration
A practical deep dive into building a multi-user blogging platform while exploring VibeCode workflows, Lovable AI, and Supabase as a backend platform.
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