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Hi, I'm Aya Oshima, a passionate Machine Learning Engineer with a blend of industry and research experience across NLP, multimodal AI, and Data Science. I have a strong foundation in computer science from NYU, where I decoded neural data for my master's thesis using statistical modeling. I enjoy building efficient, real-time AI systems, whether it's embedded voice AI for robotics or recommendation systems with low latency. I've had the opportunity to work on diverse projects from financial AI models to neuroscience research, always eager to optimize and deploy impactful machine learning solutions. I love collaborating and constantly exploring new AI architectures to solve complex problems.…Hi, I'm Aya Oshima, a passionate Machine Learning Engineer with a blend of industry and research experience across NLP, multimodal AI, and Data Science. I have a strong foundation in computer science from NYU, where I decoded neural data for my master's thesis using statistical modeling. I enjoy building efficient, real-time AI systems, whether it's embedded voice AI for robotics or recommendation systems with low latency. I've had the opportunity to work on diverse projects from financial AI models to neuroscience research, always eager to optimize and deploy impactful machine learning solutions. I love collaborating and constantly exploring new AI architectures to solve complex problems.

Aya Oshima

AI Engineer, Data Scientist, Developer, +1

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Hi, I'm Aya Oshima, a passionate Machine Learning Engineer with a blend of industry and research experience across NLP, multimodal AI, and Data Science. I have a strong foundation in computer science from NYU, where I decoded neural data for my master's thesis using statistical modeling. I enjoy building efficient, real-time AI systems, whether it's embedded voice AI for robotics or recommendation systems with low latency. I've had the opportunity to work on diverse projects from financial AI models to neuroscience research, always eager to optimize and deploy impactful machine learning solutions. I love collaborating and constantly exploring new AI architectures to solve complex problems.…Hi, I'm Aya Oshima, a passionate Machine Learning Engineer with a blend of industry and research experience across NLP, multimodal AI, and Data Science. I have a strong foundation in computer science from NYU, where I decoded neural data for my master's thesis using statistical modeling. I enjoy building efficient, real-time AI systems, whether it's embedded voice AI for robotics or recommendation systems with low latency. I've had the opportunity to work on diverse projects from financial AI models to neuroscience research, always eager to optimize and deploy impactful machine learning solutions. I love collaborating and constantly exploring new AI architectures to solve complex problems.

Available to hire

Hi, I’m Aya Oshima, a passionate Machine Learning Engineer with a blend of industry and research experience across NLP, multimodal AI, and Data Science. I have a strong foundation in computer science from NYU, where I decoded neural data for my master’s thesis using statistical modeling. I enjoy building efficient, real-time AI systems, whether it’s embedded voice AI for robotics or recommendation systems with low latency.

I’ve had the opportunity to work on diverse projects from financial AI models to neuroscience research, always eager to optimize and deploy impactful machine learning solutions. I love collaborating and constantly exploring new AI architectures to solve complex problems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Japanese

Advanced

English

Advanced

Work Experience

Machine Learning Engineer (Quant) at Quant AI Research

July 1, 2025 - Present

Building and deploying ML models in the financial domain, covering training, evaluation, and production to support data-informed solutions.

Machine Learning Engineer (System) at Confidential (academic-industry research collaboration)

July 31, 2025 - July 18, 2025

Optimized the latency of transformer-based models through quantization, parallel preprocessing, and end-to-end profiling.

Machine Learning Research Engineer (Statistics, Analytics) at NYU Langone Health Hospital - NYU Grossman School of Medicine, Neuroscience

August 31, 2024 - July 18, 2025

Conducted a master’s thesis, decoding neural firing data using advanced statistical modeling to study plasticity in oxytocin-producing PVN circuits of virgin mice during maternal learning. Processed large datasets of neural spikes with data mining techniques, aligned with video stimuli for time series analysis. Engineered Tensor Component Analysis for dimension reduction and feature extraction, identifying neuron assemblies reflecting learning-related dynamics and discovering oxytocin-driven plasticity in social behavior.

Machine Learning Engineer (Computer Vision) at NYU Center for Neural Science, Neuroscience

August 31, 2023 - July 18, 2025

Manipulated deep learning architectures (ResNet, VGG16) and prototyped a DeepDream-styled image generator for primate decision-making experiments involving reward-driven reinforcement learning.

AI Robotics Engineer (NLP, Embedded AI) at Nihon Business Data Processing Center

July 31, 2022 - July 18, 2025

Sole AI engineer shipping an embedded AI system for robotics, demonstrated live to 10,000+ attendees. Developed real-time voice-to-motion AI integrating ASR, NLP, TTS, and robot motion mapping on Linux, improving system efficiency. Researched and fine-tuned NLP models (BERT, GPT2, Blender) and developed original LSTM-based models, preprocessing Japanese language data.