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Arnav VermaAV
Open to opportunities

Arnav Verma

@arnav17v

I build AI-powered full-stack SaaS products with reliable, scalable workflows.

India
Message

What I'm looking for

I'm looking to build AI-powered full-stack products, work on scalable backend and frontend systems, and continue growing through hands-on product development.

I've built full-stack SaaS products at DexiChat and DexoDash, from multi-tenant Shopify integrations to AI-powered content workflows. At DexiChat, I synchronized product and order data across storefronts and improved LLM commerce flows with Shopify tool orchestration.

At DexoDash, I architected a Next.js 15 platform with PostgreSQL for cart and checkout state, integrated Google Gemini across 46+ admin components, and implemented i18n, RTL support, currency conversion, and fine-grained RBAC.

As the sole developer of Get Uncooked, I built a live AI interview-prep SaaS with resume scoring, adaptive quizzes, and personalized preparation plans. I reduced LLM round-trips by about 3×, cut quiz generation time by about 2×, and added cross-vendor failover for resilient AI responses.

I've also built StudyLens, a privacy-first on-device focus-monitoring desktop app using OpenCV, DeepFace, and dlib, and published a patent application for lightweight ML-based intrusion detection in agricultural IoT networks.

Experience

Work history, roles, and key accomplishments

DE
Current

Fullstack Developer

DexiChat

Jan 2026 - Present (8 months)

Developed a multi-tenant Shopify integration using GraphQL to synchronize product and order data across multiple storefronts on a Node.js/Express SaaS backend. Improved LLM commerce flow with 11 Shopify tool definitions and enhanced product search with hybrid retrieval.

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology logoVT

Vellore Institute of Technology

Bachelor of Technology, Computer Science and Engineering

Grade: 8.89/10.0

Pursuing a Bachelor of Technology in Computer Science and Engineering with a CGPA of 8.89/10.0.

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