Sneha Hassan

I'm a software and AI/ML engineer. I build systems that learn: most recently benchmarking large language models on biological reasoning at Carnegie Mellon's xulab, and before that shipping computer vision on electric scooters at Ather Energy, where a pothole-detection pipeline I built reached 92% accuracy on real roads.

I like problems with weird shapes: an AI tutor that refuses to give answers, a VR rehab platform, the world's smallest bipedal robot. Equal parts tech nerd and people person; I turn chaotic ideas into shipped products, preferably before lunch.

Work

Selected projects, from LLM research to production ML. See all projects or my experience.

BioSemantic Bridge: benchmarking bio-domain LLMs with a multi-agent ensemble decoderSocratic LLM Tutor: pedagogical AI that guides with tiered hintsPothole Detection: CV pipeline deployed in Ather's vehicle data stackRecoVR: VR assistive therapy, incubated at CMU

Writing

• How does a website survive 2 million people yelling “GOALLL” at the exact same millisecond?
• How Does a Machine Know Where to Click?
• Unlocking TOEFL Success: How I Achieved a 115 Score in Just One Week

More on the writing page, some loose scribbles, and the full archive on Medium.

Contact

The fastest way to reach me is snehahassan7920@gmail.com. Here's my resume (other versions); I'm also on GitHub, LinkedIn, and Medium. More about the human behind the resume.

P.S. Five easter eggs are hidden on this site. Happy hunting.