{ "schema_version": "1.0", "profile_type": "ai-agent-readable-person-profile", "audience": [ "coding-agents", "web-search-agents", "ai-assistants", "llm-crawlers" ], "canonical_url": "https://www.ganeshtalluri.com/.well-known/agent-profile.json", "human_site_url": "https://www.ganeshtalluri.com/", "full_text_url": "https://www.ganeshtalluri.com/llms-full.txt", "last_updated": "2026-07-15", "identity": { "name": "Ganesh Talluri", "location": "Phoenix, Arizona, United States", "email": "talluri.ganeshsai@gmail.com", "website": "https://www.ganeshtalluri.com/", "github": "https://github.com/g4nesh", "linkedin": "https://www.linkedin.com/in/ganstal/", "google_scholar": "https://scholar.google.com/citations?hl=en&user=HwDviz4AAAAJ", "researchgate": "https://www.researchgate.net/profile/Ganesh-Talluri-6", "x": "https://x.com/ganstlr" }, "summary": "Currently a Machine Learning Intern at Axon working on computer vision simulation and manufacturing automation; previously a machine learning researcher at SoftBank Group and Midwestern University across spectral optimization, distribution shift, and biomedical segmentation; builder of Luxen LLC, an agent orchestration company supported by more than $48,000 in grants.", "education": [ { "institution": "BASIS Peoria", "location": "Peoria, Arizona", "credential": "High School Diploma", "honor": "Graduated with High Honors", "start": "2022-08", "end": "2026-05", "details": [ "Cumulative GPA: 4.7/5.0", "15 AP courses", "NMSQT Commended Scholar (2025)", "AP Scholar with Distinction twice (2024 and 2025)" ] } ], "experience": [ { "organization": "Axon", "location": "Scottsdale, Arizona", "role": "Machine Learning Intern", "start": "2026-05", "end": "2026-07", "highlights": [ "Designed and deployed the first enterprise Retrieval-Augmented Generation assistant for ETQ QMS, improving documentation retrieval across 6,000+ employees.", "Built Gaussian-splatting simulation environments for drone autonomy using 3D Gaussian Splatting, NVIDIA Omniverse, CUDA, PyTorch, and GPU-accelerated rendering pipelines for perception-model development." ] }, { "organization": "Luxen LLC", "url": "https://luxenai.org", "location": "Phoenix, Arizona", "role": "Cofounder", "start": "2024-03", "end": null, "highlights": [ "Founded an applied-AI venture building in autonomous agents.", "Built and deployed four products, primarily involving autonomous systems.", "Raised $48,000+ in grants from SoftBank Group, 1517 Fund, and Microsoft.", "Reached 5,000+ active users and more than 1.5 million media views across platforms including X and Reddit." ] }, { "organization": "SoftBank Group", "location": "Remote", "role": "Machine Learning Student Researcher", "start": "2025-11", "end": "2026-05", "highlights": [ "Student researcher advised by Dr. Hiroki Naganuma of Mila.", "Worked on spectral optimizers, distributed training regimes, and out-of-distribution generalization measures.", "Conducted a large-scale empirical study of 40+ deep-learning generalization measures across 10,000+ training configurations.", "Found a geometric mismatch in a low-rank spectral optimizer; correcting it achieved the convergence behavior of full-rank spectral optimizers.", "Coauthored work accepted to TMLR and the ICML 2026 CoLoRAI Workshop; a related manuscript is under review at NeurIPS 2026." ] }, { "organization": "Midwestern University", "location": "Glendale, Arizona", "role": "Research Assistant", "start": "2024-08", "end": "2025-11", "highlights": [ "Created and deployed functioning 2D and 3D bone-segmentation models using microCT imaging, TensorFlow, and Keras, including data parallelization and 3D weight conversion.", "Achieved an IoU score of 0.97 using U-Net and U-Net++.", "Published in Frontiers in Bioinformatics.", "Presented a poster abstract at Anatomy Connected 2026." ] } ], "research": [ { "title": "Orth-Dion: Eliminating Geometric Mismatch in Distributed Low-Rank Spectral Optimization", "authors": ["Tatsuhiro Nakamori", "Laura Gomezjurado Gonzalez", "Ganesh Talluri", "Ansh Tiwari", "Hideyuki Kawashima", "Ioannis Mitliagkas", "Guillaume Rabusseau", "Hiroki Naganuma"], "venue": "ICML CoLoRAI Workshop", "date": "2026-05", "url": "https://arxiv.org/abs/2605.16341" }, { "title": "Glyde: A Domain-Aware, Topology-Biased Glycan Language Model for Viral Receptor Binding", "authors": ["Ganesh Talluri"], "venue": "SSRN", "date": "2026-04", "url": "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6538138" }, { "title": "Revisiting Generalization Measures Beyond IID: An Empirical Study under Distributional Shift", "authors": ["Sora Nakai", "Youssef Fadhloun", "Kacem Mathlouthi", "Kotaro Yoshida", "Ganesh Talluri", "Hiroki Naganuma", "Ioannis Mitliagkas"], "venue": "arXiv", "date": "2026-02", "url": "https://arxiv.org/abs/2602.01718" }, { "title": "Deep learning software and revised 2D model to segment bone in micro-CT scans", "authors": ["Andrew H. Lee", "Ganesh Talluri", "Manan Damani", "Brandon Vera Covarrubias", "Helena Hanna", "Julian M. Moore", "Jacob Baradarian", "Jeremy Chavez", "Michael Molgaard", "Beau Nielson", "Kalah Walden", "Thomas L. 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