Ramkishan Panthena
Machine Learning Engineer at GMO
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolRamkishan Panthena is a Machine Learning Engineer based in Boston with eight years of experience building and deploying scalable ML systems on Azure and productionizing NLP solutions using TensorFlow, PyTorch, Scikit-Learn and MLlib. He holds a Data Science master’s with a thesis on word-vector regularization that delivered a 45% improvement in set-accuracy by aligning weights of synonymous rare words — evidence of his strength in translating novel research into measurable gains. At GMO and previous roles he accelerated pipelines and reduced latency dramatically (e.g., cutting file wait time from 20 minutes to 5 seconds via PySpark/HDF5 solutions) and built interactive model visualizations that connect front-end D3.js with Python backends. Comfortable across the stack, he blends big-data engineering, REST API design, and deep-learning research to move prototypes into production. Pragmatic and curious, he seeks challenging problems where hidden data patterns can drive real-world impact.
8 years of coding experience
1 year of employment as a software developer
Deep Learning Specialization Data Science, Deep Learning Specialization Data Science at CourseraMasters with thesis Data Science, Masters with thesis Data Science at Northeastern UniversityEngineer’s Degree Electronics and Telecommunications Engineering, Engineer’s Degree Electronics and Telecommunications Engineering at University of Mumbai
English, Hindi, Marathi, TeluguGithub contributions (5)
RamkishanPanthena/Startup-Success-Prediction
Nov 2018 - Dec 2018
Contributions:22 commits, 26 pushes, 1 branch in 1 month
RamkishanPanthena/resume
Jan 2019 - Feb 2021
Contributions:10 pushes in 2 years 2 months
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