ARHAAN
Building full-stack apps and autonomous AI agents
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ARHAAN is ready for their next project!
Designed and developed a modern, high-performance website for Investorbase, an AI-powered platform that helps investors and founders streamline deal flow analysis and decision-making.
The goal was to translate a complex, data-driven product into a clear, visually engaging experience that communicates value instantly. The website highlights key capabilities such as real-time insights, automated pitch deck analysis, and data-backed scoring systems.
Focused on clean layout, strong typography, and intuitive user flow, the design simplifies dense information into structured, easy-to-digest sections while maintaining a professional aesthetic. Built in Framer, the site is fully responsive, optimized for performance, and enhanced with smooth interactions.
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Built the end-to-end AI pipeline for an agent-driven platform focused on enhancing human relationships through conversational systems.
Engineered a multi-agent architecture that processes inputs, routes them through specialized agents, and generates real-time, context-aware responses with conversation memory and dynamic decision-making.
Enabled users to interact with agents directly via WhatsApp, turning a familiar messaging platform into a seamless AI interface.
Focused on scalability, low-latency performance, and reliability to ensure smooth interactions at scale.
The result is an engaging system that brings advanced agent capabilities into everyday communication.
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Designed and developed Wizzaid, a multi-agent AI dashboard streamlining clinical workflows by automating administrative and diagnostic tasks.
The platform uses coordinated AI agents to summarise patient records, generate medical letters, and assist with preliminary diagnosis, enabling faster decision-making. Each agent operates within a unified system to deliver accurate, context-aware outputs.
The dashboard features an intuitive UI that transforms complex medical data into clear, actionable insights, with a focus on speed and reliability.
Led the project end-to-end, from architecting the multi-agent system to designing the interface and delivering a scalable product for modern healthcare needs.
The result is an efficiency-driven platform that reduces workload and enhances clinical productivity.
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Designed and developed a high-quality, responsive website using Framer for the client’s platform, nviya-prime.com (http://nviya-prime.com), with a strong focus on modern UI/UX principles and seamless user experience.
The project involved translating the client’s brand identity into a visually engaging and conversion-focused digital presence, with careful attention to typography, layout, and interaction design. Leveraged Framer’s capabilities to implement smooth animations, dynamic components, and a clean, contemporary aesthetic.
Built for performance and scalability, the website is fully responsive across all devices and optimized for fast load times. Collaborated closely with the client from initial concept and wireframing through to final deployment, ensuring alignment with their vision and business objectives.
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I recently built an enterprise-grade AI Screening Platform that uses a multi-model pipeline (Grok/GPT-4o/Gemini) to automate candidate evaluation. It features an agentic background runner, vector-based talent matching, and a robust FastAPI/React full-stack architecture. The system reduced manual screening time by 90% while improving recruitment precision using real-time web-search data for background verification.
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