Education
B.Tech in Computer Science and Engineering
BIET, 2019–2023
I'm Varun Chennuri, an AI-native founder and product architect in Hyderabad, India. I founded XusCorp in 2024 to run 7-day AI product sprints, and I build with an AI engineering team I designed and run.
The full story
I studied computer science at BIET, a B.Tech in CSE from 2019 to 2023. In 2021–22 I was the GDSC Technical & Design Lead, which meant owning both how things worked and how they looked.
From 2021 to 2023 I freelanced alongside my degree and built 30+ proofs of concept for FinTech and HealthTech startups.
In 2023 and 2024 I worked as AI Product Architect, AI Researcher and RPA Engineer at Genie AI, and as AI Product Architect at Cyepro, which builds a dealer management system for Indian car dealerships. I also wrote a research paper on voice assistants built with large language models.
In 2024 I founded XusCorp, which runs 7-day AI product sprints. Today I'm building Karkaana, Why Pip?, Zaya, ZapMyJob and XUS Club.
My edge is how I build: an AI software team, not a single chatbot. Claude Code and Codex build in parallel and review each other's code, and I take the risky calls. Read how I build.
Flight log
Log 06
2024–present
Runs 7-day AI product sprints, built with an AI engineering team I designed and run.
Log 05
2023–2024
Three hats at once: designing AI products, researching, and building robotic process automation.
Log 04
2023–2024
Cyepro builds a dealer management system for Indian car dealerships.
Log 03
2021–2023
30+ proofs of concept for FinTech and HealthTech startups.
Log 02
2021–2022
Led both the technical and the design side of the chapter.
Log 01
2019–2023
Computer science degree, finished alongside freelance work from 2021.
Education and research
B.Tech in Computer Science and Engineering
BIET, 2019–2023
AI-Based Voice Assistants Using Large Language Models
International conference: [PLACEHOLDER: VENUE + LINK]
English, Hindi, Telugu
I write and speak all three.
Toolbox
Next step
Seven days from framing to delivery. A two-model AI engineering team does the building, and I sign off on every risky call.