AI Engineer
General Magick Industries
May 2026 – Present
- Co-developed a multi-model LLM reasoning service, owning the Monte Carlo Tree Search (MCTS) pipeline for candidate generation, evaluation, and iterative refinement.
- Benchmarked LLM reasoning strategies using datasets such as GPQA, assessing answer quality, latency, and inference cost to inform model routing and selection.
- Extended MagickMind’s open-source Python SDK with multi-model reasoning support, enabling developers and internal services to access these capabilities through the platform API.
- Co-designed and implemented agent memory architecture based on the CoALA cognitive architecture, covering semantic, episodic, and procedural memory with consolidation, forgetting, and memory-decay mechanisms.
- Owned implementation of usage metering and billing infrastructure, including usage tracking, wallet-credit management, invoice validation, and duplicate-event handling.