About Us
FracAdapt delivers cutting-edge, terrain-aware predictive maintenance for military vehicles. We leverage advanced AI, including fractal analysis, LSTM networks, and generative AI, combined with sophisticated mathematical modeling and robust cloud infrastructure, to transform vehicle reliability.
Our Leadership
FracAdapt's leadership team brings together deep expertise in AI and mathematical sciences, pioneering innovations in predictive maintenance. We apply advanced mathematical modeling and cutting-edge AI techniques to analyze complex system dynamics, developing tailored solutions for military vehicle sensor data and terrain complexity.
Our scientific approach, combined with robust cloud infrastructure and efficient AI/ML deployment practices, ensures our insights translate into high-performance, real-world predictive maintenance algorithms that redefine operational excellence.
Strengths
Mathematical & Statistical Foundations Applying advanced theories to complex data for predictive insights
Deep Learning & Neural Network Expertise Pioneering advanced AI algorithms for enhanced predictive capabilities
Cloud & AI/ML Deployment Robust infrastructure for scalable, efficient, and secure solutions
Aneesh Hariharan — Founder & CEO
Aneesh Hariharan brings a robust academic and technical background to his role, holding MS degrees in Applied Mathematics from UW Seattle and Mathematics & Statistics from Auburn University. His expertise is further solidified by one granted patent and three patent-pending applications, showcasing his commitment to innovation.
As a former AWS Technical Instructor specializing in Machine Learning and Generative AI, Aneesh has deep practical knowledge and teaching experience. He currently contributes to the Amazon Cloud Institute (ACI), instructing "Developer Intermediate-2" and "AI for Developers" courses. In October 2024, he founded GeoGizmodo with a clear mission: to leverage modeling, AI, and ML to develop impactful and lasting solutions.
Academic & Technical Depth: Holds MS degrees in Applied Math and Math & Statistics.
AI/ML Instruction & Patents: Former AWS Technical Instructor; one granted and three pending patents.
Founding Vision: Founded GeoGizmodo to build innovative AI/ML solutions with lasting impact.
Dr. Aditya Khanna — Associate Professor, Brown University
Dr. Aditya Khanna holds a PhD in Quantitative Ecology and an MS in Statistics from the University of Washington. He is a computational social scientist specializing in modeling biobehavioral health systems, with expertise in network analysis, agent-based modeling, and predictive analytics for health equity.
His research focuses on critical areas such as HIV prevention, substance use behaviors, incarceration, and COVID-19. Dr. Khanna is affiliated with the Center for Alcohol and Addiction Studies and the Population Studies and Training Center, bringing a rigorous, data-driven approach to complex public health challenges.
Quantitative & Computational Science: Applying advanced statistical and ecological methods to social systems.
Advanced Modeling & Analytics: Expertise in network analysis, agent-based modeling, and predictive analytics.
Health Equity Research: Focus on HIV prevention, substance use, incarceration, and COVID-19.
Dr. Kathryn Lindsey — Associate Professor, Boston College
Dr. Kathryn Lindsey holds a PhD in Mathematics from Cornell University (2014). She is an Associate Professor in the Department of Mathematics at Boston College, specializing in the mathematical foundations of deep learning theory and dynamical systems.
Her research focuses on geometric foundations of deep learning, ReLU neural networks, topological entropy, and Thurston sets. She has published extensively on topics including the functional dimension of neural networks and hidden symmetries of ReLU networks. Dr. Lindsey is a current NSF grant recipient (#2133822), supporting her machine learning research. Her office is located at 567 Maloney Hall, Boston College.
Deep Learning Theory: Expertise in the mathematical foundations of deep learning.
Dynamical Systems: Specializing in ReLU neural networks, topological entropy, and Thurston sets.
Awarded Research: Extensive publications and current NSF grant recipient for machine learning research.
Alex Zare — Amazon Cloud Institute Graduate & Cloud Solutions Expert
Transitioning from project leadership to cloud innovation, Alex has 7+ years successfully delivering complex, multimillion-dollar projects in construction and healthcare. He now channels his passion for problem-solving into cloud technology and full-stack development, with a strong foundation in stakeholder management and system optimization.
Alex is a graduate of the AWS Cloud Institute program (graduating September 2025) and combines cutting-edge cloud solutions with real-world application through labs, capstone projects, and personal cloud applications.
AWS Architecture & IaC: Expertise in AWS architecture and infrastructure as code (IaC).
DevOps & Cloud Automation: Proficient in DevOps, cloud automation, and secure solution design.
Scalable Cloud Architectures: Skilled in serverless computing, CI/CD pipelines, and scalable cloud architectures.
Daniel Sheeler — Senior Software Developer & Systems Architect
Daniel Sheeler holds an MS in Computer Science and a BA in Physics from The University of Chicago and has over twenty years of software development experience. His extensive background spans academic research, systems programming, and full-stack development across diverse computational challenges.
Often working in an academic setting, Daniel has been involved in efforts to numerically model supernovas on massively parallel distributed computing systems, has worked on Linux kernel device drivers in a lab studying song birds, and has contributed to many open source Linux Audio projects. He has written C++ and Python in support of public health intervention simulations, and most recently has worked as a full-stack developer.
High-Performance Computing: Expertise in massively parallel systems and numerical modeling for complex scientific simulations.
Systems Programming: Deep experience with Linux kernel development, device drivers, and open source contributions.
Full-Stack Development: Versatile programming skills in C++, Python, and modern web technologies.
Our Commitment to You
At GeoGizmodo, our leadership team's combined expertise fuels innovation, operational excellence, and customer success at every level. We understand that your challenges are unique, and we're committed to developing solutions that address your specific needs with precision and creativity.
We are dedicated to adapting and evolving with the industry, continuously investing in research, technology, and our people to provide you with reliable, forward-thinking solutions that stand the test of time.
Our commitment extends beyond products and services—we're building partnerships that drive mutual success. When you work with FracAdapt, you gain access to decades of collective wisdom, cutting-edge technology, and a team that genuinely cares about your outcomes.
Every decision we make is guided by a simple question: How does this create value for our customers? This customer-first philosophy permeates everything we do.
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