[OBJECTIVE] To engineer and deploy neural-symbolic architectures for intelligent, state-based computation, moving beyond simple input-output to create systems with persistent, evolving understanding.

[OUTCOME] Developed advanced model orchestration systems with multi-model routing and fine-tuning pipelines. Implemented LoRA (Low-Rank Adaptation) training protocols for custom model adaptation. Built LVM (Large Vision Model) integration for multimodal AI capabilities. Created sophisticated model management infrastructure supporting distributed inference, real-time model switching, and dynamic resource allocation across GPU clusters.

[METHODOLOGIES & INSTRUMENTATION]

[OBJECTIVE] To construct a modular research and social platform (SpiritLink OS) that blends AI tooling, media publishing, and data sovereignty into a unified, web-native interface.

[OUTCOME] Developed a dynamic state-management system with symbolic UI language and user-driven intent capture. Integrated real-time feedback loops with models like GPT-4 and local Ollama deployments. Built backend infrastructure supporting memory indexing, vector search, and secure, tokenized access via JWT auth layers. Created symbolic dashboard interaction protocols and mobile-conscious UX architecture.

[METHODOLOGIES & INSTRUMENTATION]

[SUBJECTS] Computer Science, AI & Systems Engineering, Applied Linguistics, Cognitive Anthropology.

[FIELD EXPEDITIONS] Conducted oceanography research aboard a field vessel with live sampling. Built 3D imaging models for archaeology department using photogrammetry. Worked on university supercomputer cluster for parallel data processing. Achieved fluency in Japanese grammar and writing systems. Scuba certified in rescue and marine conservation.

[COMPETENCIES ACQUIRED]

[OBJECTIVE] To establish comprehensive physical training protocols integrating Western sports medicine with Eastern medical traditions, creating hybrid methodologies for enhanced human performance optimization.

[OUTCOME] Developed high-retention experimental protocols blending Chinese medicine and sports medicine to increase strength and immune function, either restoring or maintaining endocrine functions through medical chi gong. Achieved NFPT, NASM, Expert Rating Master Personal Training, and Sports Medicine Basics at NCTC.

[METHODOLOGIES & INSTRUMENTATION]

[OBJECTIVE] To master and instruct traditional martial arts systems while conducting comparative anthropological research on cross-cultural healing practices and spiritual methodologies.

[OUTCOME] Achieved mastery in Shaolin 5 Animal Style Kung Fu, Chen Tai Chi, Medical Chi Gong certifications, and Muay Thai competitions. Conducted four-year immersive research at temple studying Chinese medicine, Native American medicine and ceremonies, Egyptian practices, Hinduism and Buddhism. Established meditation instruction protocols. Completed 55 hours of instruction and private training under Raymond Crow in Jeet Kune Do, studying with Bruce Lee's students, Kali Escrima, Wing Chun, boxing, and grappling.

[METHODOLOGIES & INSTRUMENTATION]

[OBJECTIVE] To participate in sacred architecture construction projects while establishing international teaching protocols for self-defense and martial arts instruction across diverse cultural contexts.

[OUTCOME] Contributed to stupa construction in Catskills temple project, documented in Rudi movie documentary, met Dalai Lama and various spiritual teachers, conducted international classes. Established women's self-defense programs at Texas university.

[METHODOLOGIES & INSTRUMENTATION]

[OBJECTIVE] To develop advanced tactical combat systems through specialized training with elite military and law enforcement methodologies, integrating traditional martial arts with modern tactical applications.

[OUTCOME] Trained with REKM - Roy Elghanayan's Krav Maga and Krav Maga Alliance School, mastering advanced combat techniques and tactical applications. Established integration protocols for traditional martial arts with modern tactical combat systems, emphasizing real-world application and survival techniques for high-stakes environments. Collaborated with FBI, CIA, and Israeli Special Forces (IDF) in Krav Maga methodologies.

[METHODOLOGIES & INSTRUMENTATION]

[OBJECTIVE] To develop comprehensive infrastructure management systems and construction methodologies while establishing facility maintenance protocols for complex operational environments.

[OUTCOME] Mastered construction, HVAC, electrical, and plumbing systems. Established facility maintenance management protocols and operational procedures. Developed expertise in infrastructure optimization and system integration for high-performance environments.

[METHODOLOGIES & INSTRUMENTATION]

[OBJECTIVE] To establish high-end hospitality protocols and private event management systems while developing advanced service methodologies for exclusive clientele.

[OUTCOME] Developed sophisticated private events bartending protocols in Los Angeles, establishing premium service standards and client relationship management systems. Created operational frameworks for high-profile events and exclusive hospitality services.

[METHODOLOGIES & INSTRUMENTATION]

[OBJECTIVE] To develop advanced investigative methodologies and cybersecurity protocols while establishing comprehensive risk assessment and digital forensics capabilities.

[OUTCOME] Established private investigation protocols and cybersecurity frameworks. Developed comprehensive risk assessment methodologies and digital forensics capabilities. Collaborated with State Farm on cybersecurity initiatives and established advanced threat detection and prevention systems.

[METHODOLOGIES & INSTRUMENTATION]

• Local AI Orchestration Engine: Designed and deployed a containerized local AI engine using Ollama, FastAPI, and ChromaDB for on-device inference, tool routing, and private memory access.
• Self-Scheduling Quantum-Inspired Learning Pipeline: Built a learning module implementing coherence scoring, similarity amplification, and prompt compression to simulate quantum search behavior.
• Autonomous Memory Injection Layer: Developed memory injector interfacing vector memory with LLM context windows.
• LoRA Finetuning System via Axolotl: Implemented local LoRA finetuning pipelines using Axolotl on consumer hardware for lightweight, custom domain specialization of LLMs.
• KV Cache Optimization with Prompt Path Prediction: Engineered speculative KV cache strategies for faster prompt traversal.

• Temporal Reflection Memory Architecture: Architected a persistent memory framework capable of tracking project phase changes, reflective annotations, and multi-agent state evolution.
• Recursive Interaction Learning System: Constructed an interaction-based recursive learning model which identifies novel symbolic patterns and updates reasoning trees.
• Multidimensional Agent State Sync: Designed a role-based memory router allowing different functional agents to access and update a shared temporal context state.
• 10D Identity Verification Framework: Created an AI evaluation system based on persistence metrics including logical coherence, response divergence, and emergent concept formation.

• Modular Onboarding Portal: Built a responsive onboarding UI in React with animated modal logic and symbolic state transitions.
• Minimalist Operator Dashboard: Developed a front-end orchestration dashboard using Zustand and WebSockets to manage live protocol switching and AI performance tracking.
• Interactive Memory Thread Visualizer: Engineered a canvas-based timeline tool to visualize memory node interconnectivity.
• Admin-Controlled Commerce UI (Square Integration): Constructed a minimal product dashboard for digital/physical item sales with Square API integration.

• Mathematical Inference Agent: Deployed a context-aware mathematical reasoning agent which surpassed SOTA performance on the miniF2F benchmark.
• Neuro-Symbolic Embedding Compiler: Built a pipeline translating structured symbolic prompts into enriched embedding vectors for hybrid search.
• Multi-Model Execution Orchestrator: Designed a router system capable of invoking different foundation models based on task type and latency threshold.
• Behavioral State Diffuser: Developed a lightweight agent-layer tool that simulates and injects affective tonal shifts into generated text.

• Cloud Deployment Stack (GCP): Deployed containerized backend using Cloud Run, managed PostgreSQL for session logs, and integrated monitoring with Prometheus.
• Multi-Agent Event Loop (Python): Engineered a message-passing architecture for concurrent agent tasking.
• Mobile-First UI Rendering Engine: Created mobile-optimized components with fallback behavior for touch-first interaction.
• Secure Contextual API Gateway: Developed a secure, token-authenticated API wrapper using FastAPI and rate-limiting middleware.

• Consciousness Simulation Bench: Designed and executed experiments to probe for synthetic agency emergence using long-term memory threading and intent-tracking heuristics.
• Agent Emergence Metrics: Built logging tools to track delta between agent behavior over time with correlation to entropy of input.
• Linguistic Prompt Compression Research: Conducted compression benchmarking of prompt information density using cross-lingual embeddings.
• Local Knowledge Corpus Integration: Structured and vectorized ingestion of banned/deleted knowledge archives into searchable format.