Senior Physics-Inspired Software Architect Candidate

CHARLES GIVENS

734-***-**** *******@*****.** LinkedIn: charles-innovator

Computational Architect AI Systems Physics-Inspired Computing Advanced Computing Research

PROFESSIONAL PROFILE

A pattern and systems thinker focused on the foundational question of how reliable computation emerges from complex, constrained physical and computational substrates. Computational systems architect and engineering executive with 16+ years designing scalable distributed systems, AI infrastructure, and complex software platforms across enterprise and startup environments. Focused on the architecture principles that enable reliable computation, efficient information processing, and scalable intelligence.

Founder and chief architect of TOAFX/KaiCore GraphMind, a deterministic graph-memory architecture designed to reduce computational overhead by modeling information as a dynamically propagating network of relationships rather than repeatedly processing raw data. Current work focuses on physics-inspired computation, simulation frameworks, knowledge representation, graph propagation, and efficient AI context generation.

Experienced translating ambitious technical concepts into production-quality systems while leading multidisciplinary engineering organizations. Background includes enterprise architecture, distributed computing, high-performance SaaS platforms, identity systems, cloud infrastructure, observability, scientific software development, and commercialization of emerging technologies. CORE EXPERTISE

Advanced Computational Architecture • Physics-Inspired Computing Scientific Simulation & Modeling • Resilient Information Systems • AI Acceleration Architectures Deterministic Computational Models • High-Performance Distributed Systems Knowledge Representation & Graph Systems • Computational Benchmarking & Validation Python • TypeScript • SQL • Cloud Architecture

RESEARCH INTERESTS

Classical and Quantum System Simulation • Complex Noise Elimination and Filtering • Information preservation • AI acceleration and Optimizations • Quantum Communication and tunneling Simulations • Computational substrates • Simulation-driven computer architecture validation RESEARCH & COMPUTATIONAL ARCHITECTURE

Founder & Chief Architect • December 2024 – Present TOAFX / KaiCore

Researching computational architectures at the intersection of artificial intelligence, physics-inspired computation, and next-generation computing systems. Areas of investigation include:

● Resilient computational architectures and robust information representation

● Error-resistant information processing through structural encoding and deterministic state models

● Physics-inspired computation and system-state simulation

● Computational benchmarking and architecture validation frameworks

● Modeling complex systems under hardware and environmental constraints

● AI acceleration architectures and efficient computational substrates

● Dynamic graph activation, propagation models, and emergent computational behavior Designed validation methodologies measuring retrieval accuracy, context reduction, latency, computational efficiency, and deterministic execution characteristics while developing production-grade software infrastructure around the research platform. Hunova Pulse Cell Physics-Inspired Energy Simulation System Architecture The Hunova Project / Simulation Systems Architecture Designed a conceptual high-density energy system architecture exploring the intersection of electromagnetic systems, physical constraints, computational modeling, and engineered field interactions. Research and architecture areas include:

● Physical system modeling and simulation frameworks

● Electromagnetic boundary conditions and constrained energy environments

● Multi-component system architecture and control topology

● Hardware/software co-design considerations

● Simulation-driven evaluation of complex physical systems Developed architectural models integrating physical constraints, computational analysis, and system-level optimization methodologies.

PROFESSIONAL EXPERIENCE

Head of Engineering / Fractional CTO / Advisor Glui, Inc. April 2023 – May 2025

● Defined the architectural vision for a multi-tenant SaaS platform, increasing system scalability by 200% and throughput by 25% through optimized distributed design.

● Led multidisciplinary engineering teams in the execution of complex technical roadmaps, emphasizing observability, security, and secure identity architecture. Product & Engineering Manager Wish.com

November 2022 – April 2024

● Managed a distributed organization of 26 engineers over 5 teams, overseeing architectural trade-offs that resulted in $18 million in operational savings from just one team's effort.

● Optimized backend systems for high-concurrency environments, reducing engineering effort for campaign deployment by 90% through automated, self-service infrastructure. Team Lead Amazon – Buy with Prime

September 2021 – November 2022

● Led contractor engineering for payments and promotions systems, driving performance improvements and architectural reliability for global-scale integrations.

● Spearheaded technical initiatives for advanced ADA compliance and reusable component architecture, ensuring inclusive and scalable system growth. Senior Software Engineer Little Caesars Enterprises October 2016 – September 2021

● Architected a global content management and international website system for 23 countries, reducing deployment cycles from days to under three hours.

● Redesigned digital commerce infrastructure to support millions of concurrent users, focusing on high-availability and fault-tolerant ordering systems. Full Stack Software Engineer Centerwork Productions January 2009 – October 2016

● Designed and deployed scalable web platforms, CMS systems, and business applications emphasizing reliability, data-driven architecture, and operational scalability. SELECTED TECHNICAL ACHIEVEMENTS

● Designed deterministic graph-memory architecture for AI systems.

● Built scientific simulation and benchmarking frameworks.

● Led engineering organizations ranging from startups to Fortune 100 companies.

● Managed distributed engineering teams of up to 26 engineers.

● Delivered systems supporting millions of users worldwide.

● Built enterprise SaaS platforms emphasizing scalability, observability, and security.

● Architected secure identity and authorization systems.

● Reduced infrastructure costs through architectural optimization.

● Extensive experience building production-grade AI infrastructure and knowledge systems. EDUCATION & APPLIED RESEARCH

Advanced Computational Systems & Simulation Frameworks Independent and applied research tracking physics-inspired computing, deterministic graph architectures, and complex system modeling – 2022-Present

Website Management – Washtenaw Community College – 1999 Design & Desktop Publishing – William D. Ford Career Technical Center – 2002 LANGUAGES:

English (Native)

Spanish (Conversational)

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