Praneeth Narayan

At Artus, I worked as a Solo AI Full Stack Engineer, owning the research, architecture, development, and delivery of multiple AI-driven products and features.
My work spanned AI agents, full-stack applications, knowledge extraction, market research, and intelligent document automation. One of the major systems I built was a multi-agent workflow engine that enabled users to create, modify, and main

Delivered 5+ full-stack applications, including a scalable online appointment booking platform with payment processing and automated communication. Built ElevateHub, a digital automation platform leveraging AI-driven capabilities for enhanced campaign performance.

Independently led end-to-end solution development across multiple problem statements in a multi-company AI challenge. Contributed to internal AI platforms including Waveflow Studio and WaveflowDB, engineering a credit-based usage system and integrating payment workflows.

Independently led end-to-end solution development across multiple problem statements in a multi-company AI challenge. Contributed to the development of internal AI platforms including Waveflow Studio and WaveflowDB, focusing on scalable system design and feature integration. Engineered a credit-based usage system in WaveflowStudio, enabling controlled resource allocation and user-level access mana

At CyberGuard360, I played a pivotal role in developing an AI-driven phishing detection system. My responsibilities included designing a dual-model pipeline that combined email content analysis with URL-based threat detection. I collaborated closely with a team to enhance system architecture and ensure the integration of the machine learning pipeline into a user-friendly frontend, enabling real-ti

GPA: 8.2/10

GPA: 9.44/10