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AI Safety Architect solo-building Trinity: a self-evolving AI OS: JARVIS (Body) · J-Prime (Mind) · Reactor Core (Forge), run by a 1.45M-line O+V engine.
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Assessing your cultural and operational fit
California Polytechnic State University-San Luis Obispo (Cal Poly)
Data Scientist
June 25, 2026 – Present
drussell23
February 23, 2026 – Present
AI Engineer building autonomous AI infrastructure. 3,900+ commits across the JARVIS ecosystem.
View ProjectJARVIS-Prime
November 9, 2025 – Present
Specialized PRIME models for JARVIS. Production-ready models with quantization, M1 Mac support, and seamless integration. Powered by Reactor Core.
View ProjectJARVIS-Reactor
November 9, 2025 – Present
High-performance Hybrid C++/Python ML training engine featuring GCP Spot VM auto-recovery, LoRA/DPO/FSDP support, and 60% cost reduction. The training backbone for the JARVIS ecosystem.
View ProjectJARVIS-Portfolio
October 9, 2025 – October 18, 2025
Portfolio & technical blog built with Next.js, featuring my JARVIS AI Agent project.
View ProjectJARVIS
August 13, 2025 – Present
Trinity AGI OS -- Autonomous self-evolving AI operating system. Ouroboros + Venom proactive self-development engine, 19 sensors, 11-phase governance pipeline, Trinity consciousness, VLA vision pipeline, voice biometric auth. The organism develops itself.
View ProjectIronman-Suit-Simulation
May 6, 2025 – August 6, 2025
An advanced simulation of Iron Man suit engineering, integrating AI, Systems Programming, Robotics, Nanotechnology, Cybersecurity, and more.
View ProjectConnect-Four-AI
April 18, 2025 – Present
An intelligent Connect Four game powered by advanced AI algorithms, including Deep Reinforcement Learning, AlphaZero, and Meta-Learning, designed to challenge and evolve against human opponents.
View ProjectTCP-Chat-Program-Project-2---CPE464
March 30, 2025 – April 16, 2025
This project implements a TCP-based chat program for CPE464. It features a server that routes messages among clients and a client that supports registration, direct messaging, broadcast messages, list queries, and clean exits. PDUs with a fixed 3-byte header ensure protocol consistency.
View ProjectCultural Fit Analysis
The candidate's project portfolio is highly focused on advanced AI and machine learning, indicating a strong alignment with a data science role that involves research, development, and implementation of complex AI systems. The breadth of technologies used across projects (Python, C++, JavaScript, Rust, Swift, Docker, CMake) suggests adaptability and a willingness to learn diverse tools. However, the lack of team-based or industry-specific projects, combined with an 'experienceLevel' of 0 and a current role listed as 'Data Scientist' at a university with a future start date, suggests a potential gap in understanding corporate environments or collaborative team dynamics. The projects are highly ambitious and technically deep, which could be a strong cultural fit for an innovative, research-oriented team, but might require mentorship for navigating established organizational structures.
Soft Skills & Operational Fit
The candidate's extensive personal projects, particularly the JARVIS ecosystem, suggest strong self-motivation, problem-solving skills, and a passion for AI. The description of JARVIS as an 'Autonomous self-evolving AI operating system' implies a high degree of independent work and a proactive approach to development. However, without formal work experience or completed assessments, it is difficult to assess collaboration, communication, or stress handling in a professional operational context.