A curious engineer who somehow wandered into batteries… and then accidentally kept going until it turned into simulation frameworks, AI systems, and a mild obsession with how things actually work under the hood. Current obsession is RL and GenAI, where ollama/vllm are my greatest friends so far to run local models.
Likes building models that don’t just fit curves but explain behavior — especially where things start breaking, diverging, or behaving weirdly (that’s where the fun is anyway).

• 🔋 Works on battery modeling, simulation & scaling laws (EV focus)
• 🧠 Strong bias toward physics-grounded modeling over black-box ML
• ⚙️ Builds systems that connect: simulation ↔ AI ↔ reasoning
• 🐍 Python-driven engineering across domains
• 🔍 Interested in instabilities, boundary regimes, and failure modes
• 🤖 Explores AI that can reason about systems, not just predict

• 🧠 Building AI-assisted systems + debugging systems
• ⚡ Bridging electrochemical models → system-level behavior
• 🔍 Combining static + dynamic code understanding for AI agents
• 🧩 Moving toward symbolic + physics-aware AI reasoning

• Focus on Local first, data privacy and tunable systems, not black boxes
• ⚡ Start from first principles, then approximate
• 🔬 Models should fail meaningfully, not just fit data
• 🧩 Micro-dynamics → Macro behavior (always traceable)
• 🚫 If it's only empirical → it's incomplete
• 🛠️ Build tools that augment thinking, not replace it

• 🔋 Battery models: ECM → system-level scaling
• ⚙️ Simulation frameworks (CFD + electrochemistry)
• 🤖 AI infra: code understanding, agents, reasoning systems
• 🧠 Experiments in physics + AI convergence

• GitHub: https://github.com/ash3spho3nix