Preetam Ozarde is a Data Scientist with eight years of experience building ML and NLP systems, currently working on production data science projects in Pune. He combines a strong academic foundation from VNIT Nagpur with hands-on research at IIT Bombay and University at Buffalo, where he developed multilingual text classifiers, sentence similarity models, and ASR datasets. At Floatbot he focused on real-world conversational AI challenges—entity detection, inverse text normalization, acronym conversion, query clustering, and wav2vec2/wav2letter-based speech recognition. He has led full-stack integrations and deployments (Django, Azure, Docker) for tools that automate text classification, response categorization and visualization, demonstrating both research depth and product delivery. A published co-author on image-based counterfeit detection, Preetam blends signal-processing intuition with NLP expertise and a practical knack for building APIs and scalable pipelines. He’s comfortable across the ML stack—from feature engineering and embedding models to model comparison and deployment—making him a pragmatic bridge between research and production.
7 years of coding experience
2 years of employment as a software developer
AISSE & AISSCE, AISSE & AISSCE at The Indian High School
Bachelor of Technology, Electrical, Electronics and Communications Engineering, Bachelor of Technology, Electrical, Electronics and Communications Engineering at Visvesvaraya National Institute of Technology
Contributions:3 pushes, 1 branch in 1 year 11 months
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