Machine Learning & Neural Network Researcher
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I built and evaluated neural networks using PyTorch, focusing on analyzing outputs for hallucinations and logical reasoning breaks. I studied large language model architectures and agentic systems, developing multi-step reasoning analysis skills for AI evaluation. My work provided feedback for model improvement and contributed to benchmarking efforts.
• Evaluated LLM and neural network outputs for reasoning errors.
• Developed structured analyses to detect model hallucinations and edge cases.
• Provided detailed feedback to inform AI model refinement.
• Enhanced benchmarking processes for research-quality models.
I built and evaluated neural networks using PyTorch, focusing on analyzing outputs for hallucinations and logical reasoning breaks. I studied large language model architectures and agentic systems, developing multi-step reasoning analysis skills for AI evaluation. My work provided feedback for model improvement and contributed to benchmarking efforts. • Evaluated LLM and neural network outputs for reasoning errors. • Developed structured analyses to detect model hallucinations and edge cases. • Provided detailed feedback to inform AI model refinement. • Enhanced benchmarking processes for research-quality models.
2026 - Present