Last updated: August 2026

Ganesh Talluri

[about me] [bookshelf]

Hi! I'm Ganesh Talluri and I'm currently based in Phoenix, AZ. I'm currently a Machine Learning Engineer at Axon. Before that, I was an Associate Student Researcher at SoftBank and Midwestern University.

My research interests span foundation models, representation learning, distribution shift, and machine learning for scientific discovery. I have worked on foundation models, spectral optimizers, distributed training, and machine learning under distributional shift. More recently, I have become interested in low-level systems and kernel optimization for efficient large-scale model training and inference.

I was also a Venture Fellow at Harvard University and a Mercatus Fellow at George Mason University. I am also a Scholar at the Masason Foundation and the co-founder of Luxen LLC.

Feel free to reach out if you are interested in my work.

Ganesh Talluri

Education

BASIS Peoria High School Diploma
Aug 2022 – May 2026
  • Cumulative GPA: 4.7/5.0
  • 15 APs, 1510 SAT
  • Attended the #1 ranked public high school in the U.S. (U.S. News 2024)
  • National Merit Scholarship Commended Scholar, AP Scholar with Distinction x2, CollegeBoard National Recognition Program
  • President of Science Olympiad, Captain of Academic Decathlon, and President of USABO Club
George Mason University Mercatus Fellow
Fairbanks, VA | January 2025 - May 2025
  • Selected as 1 of 48 fellows for a competitive Mercatus Center fellowship with a less than 10% acceptance rate.
  • Received a stipend to study political economy, institutional analysis, and governance with George Mason University scholars.
  • Applied economic frameworks to questions of entrepreneurship, markets, public policy, and institutional design.

Experience

Axon Machine Learning Engineer
Scottsdale, AZ | June 2026 - July 2026
  • Created Axon's first internal RAG chatbot for its quality management system (QMS), helping scale access to QMS knowledge across a 6,000-employee organization.
  • Built reinforcement learning environments for drone autonomy using NVIDIA Omniverse, CUDA, PyTorch, and GPU-accelerated rendering pipelines.
Luxen LLC Cofounder
Phoenix, AZ | March 2024 – Present
  • Founded an applied-AI lab focused on autonomous agent development.
  • Built lightweight orchestration layers: arbor for agent behavior and regimen for small-model workflows.
  • Raised $48K in grant funding and equipment from 1517 Fund, SoftBank, and BizWorld.
  • Reached 5K+ active users and over 1.5M media views.
SoftBank & Masason Foundation Associate Student Researcher
Tokyo, JP | November 2025 - May 2026
  • Advised by Dr. Hiroki Naganuma.
  • Joint collaboration research group between Foundation scholars, postdoctoral researchers, professors, and doctoral students.
  • Found a geometric mismatch in low-rank spectral optimizer which once corrected achieved the convergence of full rank spectral optimizers.
  • Worked on spectral optimizers, distributed training regimes, and out of distribution generalization measures.
  • Work accepted to ICML 2026 CoLoRAI, pending review at NeurIPS 2026.
Midwestern University Associate Student Researcher
Glendale, AZ | August 2024 - November 2025
  • Advised by Prof. Andrew Lee.
  • Co-developed BONe deep learning software modules for training, prediction, and evaluation of microCT bone segmentation models.
  • Evaluated model robustness using 5-fold cross-validation, 3 random seeds per fold, and 30 architecture/backbone/patch-size benchmarking experiments.
  • Poster presentation at Anatomy Connected 2026.

Publications

1. Sora Nakai, Youssef Fadhloun, Kacem Mathlouthi, Kotaro Yoshida, Ganesh Talluri, Hiroki Naganuma, Ioannis Mitliagkas. "Generalization Measures under Controlled Covariate Shift: A Regime-Aware Benchmark." TMLR (08/2026). [Paper]
2. Tatsuhiro Nakamori, Laura Gomezjurado Gonzalez, Ganesh Talluri, Ansh Tiwari, Hideyuki Kawashima, Ioannis Mitliagkas, Guillaume Rabusseau, Hiroki Naganuma. "Orth-Dion: Eliminating Geometric Mismatch in Distributed Low-Rank Spectral Optimization." ICML'26 CoLoRAI Workshop (05/2026). [Paper]
3. Ganesh Talluri. "Glyde: A Domain-Aware, Topology-Biased Glycan Language Model for Viral Receptor Binding." SSRN (04/2026). [Paper]
4. 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. Broderick, Layla Al-Nakkash. "Deep learning software and revised 2D model to segment bone in micro-CT scans." Frontiers in Bioinformatics (12/2025). [Paper]
5. Ganesh Talluri, Ashwin Rokkam. "Sculpt: Novel Multi-Omics AI for Neuronal Modeling." medRxiv (04/2025). [Paper]

Projects

Arbor

A framework for structuring, visualizing, and orchestrating agent behavior in a more interpretable tree-based form.

GitHub
Regimen

Orchestration layer for Small Language Models (SLMs) for long horizon task efficiency.

GitHub

More projects on my GitHub.

Awards, Fellowships & Funding

Fellowships & Programs

Honors

Miscellaneous Awards/Distinctions

Skills

Programming & Systems Python, Java, JavaScript, CUDA, HTML/CSS
ML & Training Infrastructure PyTorch, JAX, Transformer Architectures, LLM Training, FSDP/ZeRO
Optimization & Theory Optimizer efficiency, Numerical Linear Algebra in ML, Communication Bottlenecks & Quantization (GPTQ, QAT), Probability & Statistics for Machine Learning