Affective computing Machine learning AI engineer
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Ph.D. candidate specialized in affective computing with 4+ years of experience developing AI-powered applications, including virtual reality prototypes with real-time user emotion detection. Prolific early career researcher with machine learning expertise, proficiency in python, pandas, keras and VR scenario game development along with 3+ publications and 3+ conference presentations. Excited for a postdoctoral or ML engineer position to leverage expertise in machine learning, programming skills, experiment design, data analysis to implement affective computing research in immersive technologies.
2+ years of experience developing machine learning models, VR scenarios, conducting research, experiments, data collection, data analysis
PhD research focused on building a voice database, identify the voice features, built a machine learning model, implement into VR scenarios to provide feedback in real-time to users