Abhinav Thakur

Data Scientist (Senior Seismic Imager)

Houston, Texas, United States
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Summary

👤
Senior
🎓
Top School
Abhinav Thakur is a data scientist and seismic imaging specialist with a decade of engineering experience, blending ML research from USC's HAL and ISI labs with hands-on production software development at ThoughtWorks. He has built scalable big-data pipelines, Golang microservices, and Spark ETL for recommendation and forecasting systems, and now applies those skills to seismic imaging and geophysical ML at Viridien. His research spans multi-modal meme understanding, knowledge graph completion, and table-understanding with contrastive learning, reflecting strength in NLP and semi-supervised methods. Notably, he has improved Spark performance at scale and led cloud-native deployments using Docker, AWS, and CI/CD tools, bridging research prototypes to production. Based in Houston, he combines academic rigor with pragmatic engineering to solve domain-specific problems in energy and natural language.
code10 years of coding experience
job6 years of employment as a software developer
bookMaster of Science - MS, Electrical Engineering - Machine Learning and Data Science, Master of Science - MS, Electrical Engineering - Machine Learning and Data Science at University of Southern California
bookSSC, CBSE, SSC, CBSE at Kendriya Vidyalaya, Ajni, Nagpur
bookHigh School, HSC, High School, HSC at Dinanath Junior College & High School
bookBachelor of Engineering (BE), Electronics and Communications Engineering, Bachelor of Engineering (BE), Electronics and Communications Engineering at RV College Of Engineering
languagesHindi, English
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Stackoverflow

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Github Skills (4)

wikidata5
machine-learning4
web-framework1
data-engineering1

Programming languages (6)

TypeScriptMakefileScalaJavaScriptJupyter NotebookPython

Github contributions (5)

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Web framework for end to end machine learning
Contributions:7 releases, 3 reviews, 99 commits in 7 months
machine-learningweb-framework
Contributions:1 review, 1 PR, 4 pushes in 8 months
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