Summary
Hiromasa Ohashi is an Acoustic Engineer with 11 years of experience designing and optimizing audio systems at Panasonic Connected Solutions Company, combining practical product work with deep research roots. He holds a Master’s from Nagoya University focused on speech recognition, spoken document retrieval, and machine learning, and applies that background to real-world audio processing and embedded system challenges. Proficient in Python, C++, Ruby, and audio engineering tools, he bridges algorithm development and implementation for electrical and electronic manufacturing. Known for translating academic speech technologies into robust product features, he emphasizes measurable improvements in intelligibility and noise robustness. Based in Osaka, Japan, he brings a steady long-term perspective to cross-disciplinary teams and complex acoustic problems.
11 years of coding experience
Master's degree, speech recognition, spoken document retrieval, machine learning, Master's degree, speech recognition, spoken document retrieval, machine learning at Nagoya University