Mrinal Jain is a Data Scientist with nine years of experience focused on applied machine learning and computer vision, currently contributing at Alkymi after building production-ready table-structure recognition systems at Ephesoft. He blends strong academic training from NYU CDS and VIT with practical expertise in Python, PyTorch/TensorFlow, OpenCV and AWS SageMaker to ship models that substantially improved extraction accuracy and evaluation practices. His work spans sequence-to-sequence forecasting, product embeddings, and manufacturing-time modeling, showing a knack for translating domain problems into robust ML pipelines and automation. Known for coordinating RFCs and CI/CD-like model training workflows, he brings both hands-on model development and pragmatic production integration experience. An avid programmer driven by making “silicon do what carbon can,” he pairs curiosity about AI’s societal impact with a track record of measurable business improvements.
9 years of coding experience
2 years of employment as a software developer
High School, 10th Standard, High School, 10th Standard at Rani Laxmibai Public School, Jhansi (UP)
Bachelor of Technology (B.Tech.), Information Technology, 9.15/10.0, Bachelor of Technology (B.Tech.), Information Technology, 9.15/10.0 at Vellore Institute of Technology
Senior Secondary, 11th and 12th Standard, Senior Secondary, 11th and 12th Standard at Modern School
Master of Science - MS, Data Science, 3.64/4.00, Master of Science - MS, Data Science, 3.64/4.00 at NYU Center for Data Science
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