Anamitra Musib - Data Engineer

Anamitra Musib

Data Engineer

Irving, Texas, United States

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Summary

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Senior

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Top School

Anamitra Musib is a Data Engineer with 10 years of experience specializing in scalable data pipelines, MLOps, and production-ready deep learning systems, currently driving data initiatives at CVS Health. He combines strong hands-on expertise across Python, Java, PySpark, AWS (SageMaker, Glue, Lambda, Redshift), and orchestration tools like Airflow and Step Functions to build resilient ingestion and real-time analytics workflows. His background includes building anomaly detection and Hudi-backed ingestion pipelines at Taco Bell and productionizing ML-powered services at Newzera, demonstrating a blend of SRE-minded design and applied ML. Anamitra is an active open-source contributor—adding reinforcement learning and GAN implementations to the large OpenGenus/cosmos dataset and regularly solving algorithmic challenges—reflecting a rare mix of research curiosity and production discipline. He holds a strong academic foundation with a BTech from VIT and a Data Science MS from UC Irvine, and often writes technical deep dives on topics like YOLO architectures.

9 years of coding experience

2 years of employment as a software developer

Bachelor of Technology - BTech, Computer Science and Engineering, 9.02 / 10 (CGPA), Bachelor of Technology - BTech, Computer Science and Engineering, 9.02 / 10 (CGPA) at Vellore Institute of Technology

9.2 CGPA (AISSE), 9.2 CGPA (AISSE) at Delhi Public School, Navi Mumbai

University of California, Irvine

Stackoverflow

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Github Skills (13)

algorithm10

data-structures10

javas10

machine-learning10

python10

generative-adversarial-network10

data-structure10

java10

lintcode10

dynamic-programming9

tensorflow9

hashtable9

graph-algorithms8

Programming languages (8)

TypeScriptJavaC++PHPHTMLJupyter NotebookRubyPython

Github contributions (5)

OpenGenus/cosmos

Sep 2019 - Oct 2019

World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project

Role in this project:

Data Scientist

Contributions:25 commits, 9 PRs in 2 days

Contributions summary:Anamitra added implementations of Q-Learning and Deep Q Networks using Python, including the creation of a Q-table and training process within a game environment. They also implemented a Conditional GAN and a CycleGAN. These additions suggest a focus on developing and experimenting with machine learning models, particularly in the domain of reinforcement learning and generative adversarial networks.

datastructuresinternshipcontributordatasetopengenus

fishercoder1534/Leetcode

Apr 2020 - Oct 2020

Solutions to LeetCode problems; updated daily. Subscribe to my YouTube channel for more.

Role in this project:

Back-end Developer

Contributions:5 commits, 6 PRs, 1 comment in 5 months

Contributions summary:Anamitra primarily focuses on solving LeetCode problems, demonstrating proficiency in data structures and algorithms. Their commits involve updating Java solutions for various problems, including those related to graph algorithms, sliding windows, and dynamic programming, as indicated by the file names and problem numbers. These updates often include bug fixes and improvements, showcasing their ability to debug and refine code to meet the requirements of the LeetCode platform.

pythonmysqlleetcodeyoutube-channelproblems

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