Chandler, AZ
Avinash Puppala
Software Engineering · Artificial Intelligence · Neurotechnology
Bridging scalable software and the human nervous system. With a dual background in Computer Science and Biomedical Engineering, my career is rooted in building robust applications and data architecture in industry. My true passion, however, lies in neuroengineering. I built my foundation in the lab—processing MRI scans for neural targeting, helping construct ultrasonic calibration tanks, and exploring the mathematics of wave propagation. Today, I am actively expanding that foundation. By diving into current literature and building self-directed projects like ML-driven skull aberration correction, I am working to fuse my software expertise with advanced non-invasive neuromodulation. I am a lifelong student of the brain, driven by the ultimate goal of engineering synthetic sensory perception.
Featured projects
Selected builds and research threads
ML-Driven Aberration Correction for TFUS
Machine learning approaches to correct skull-induced phase aberrations in transcranial focused ultrasound for more reliable neuromodulation targeting.
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Culyna - Full-Stack AI Nutrition
A full-stack AI food and nutrition product using LLMs, prompt engineering, and modern web tooling for personalized experiences.
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Rust 32-bit x86 Emulator
A Rust implementation of a 32-bit x86 emulator—instruction decoding, system boundaries, and deterministic execution for systems-level depth.
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Automated Leksell Frame Adjuster
Biomedical engineering project focused on automating Leksell stereotactic frame adjustment workflows for precision neurosurgical planning.
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