Summary
Prasham Bhuta is a Senior Machine Learning Engineer with nine years of experience blending statistical rigor and practical ML to build language and vision solutions that improve human wellbeing and environmental outcomes. With a Master’s in Modeling and Data Analysis from Vilnius University and an MIT MicroMasters in Statistics & Data Science, he has delivered production ML at IBM—ranging from geospatial image classification on SageMaker to governance and fine-tuning of industry-specific LLMs—and now leads English-language NLP projects at Unisys. He is a pragmatic founder-turned-engineer who drove FitBox to 270K downloads through data-driven growth experiments and continues to volunteer with the Lithuanian Red Cross. Comfortable across cloud platforms (GCP, AWS, Azure), Python, SQL and BigQuery, he combines agentic workflows and deep learning to turn messy text and image problems into operational systems. Notably, his profile reflects both hands-on model engineering and a continuous interest in wellness and environmental tech rather than pure research.
9 years of coding experience
7 years of employment as a software developer
Micromasters, Statistics and Data Science, Micromasters, Statistics and Data Science at Massachusetts Institute of Technology
Master of Mathematical Science, Modeling and Data Analysis, Master of Mathematical Science, Modeling and Data Analysis at Vilniaus universitetas / Vilnius University
Petroleum Engineering, Petroleum Engineering, Petroleum Engineering, Petroleum Engineering at Pandit Deendayal Petroleum University