Ritesh Aryan

Senior Data Engineer

Gurugram, Haryana, India
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Summary

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Senior
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Ritesh Aryan is a Senior Data Engineer with 9 years of experience building and migrating large-scale ML and data pipelines across AWS and GCP, currently driving data initiatives at Emeritus. He combines deep expertise in machine learning, computer vision, and NLP with practical big-data engineering using Spark, EMR, Kafka, and Apache Beam, and is AWS Certified Developer Associate. Ritesh has a proven track record of cloud migration and cost/performance optimization—having led a phase-wise Azure-to-AWS migration—and strong DevOps fluency with Docker, Kubernetes, Airflow and CloudFormation. Comfortable across Python, Scala and C++, he deploys production ML via SageMaker, Lambda and serverless stacks while maintaining observability through CloudWatch and Kibana. A Udacity ML Nanodegree alumnus and hackathon winner, he also shares projects and prototypes on GitHub that showcase applied deep-learning work such as YOLO and BERT integrations.
code9 years of coding experience
job3 years of employment as a software developer
bookHigh School, Informatics Pracitces, Physics,Chemistry,Math,English, 94%, High School, Informatics Pracitces, Physics,Chemistry,Math,English, 94% at St. Michael's High School - India
bookNanodegree, Machine Learning Engineer, Nanodegree, Machine Learning Engineer at Udacity
bookBachelor’s Degree, Computer Science And Engineering with specialization in cyber security and forensics, 8.5/10, Bachelor’s Degree, Computer Science And Engineering with specialization in cyber security and forensics, 8.5/10 at University of Petroleum and Energy Studies
bookSecondary School, Mathematics ,Computer Science,Science,English, 94.4%, Secondary School, Mathematics ,Computer Science,Science,English, 94.4% at Don Bosco Academy, Patna
languagesEnglish, Hindi
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Stackoverflow

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Github Skills (82)

flask-dance9
stream8
camera8
mongodb8
nodejs8
javascript7
face-recognition7
python7
flask6
flask-application6
flask-sqlalchemy6
snap6
opencv6
classify6
classification-model6

Programming languages (5)

C++JavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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This repository contains model for NER trained on clinical data to extract names of diseases from unstructured text. Named-entity recognition (NER) (also known as entity extraction) is a sub-task of information extraction that seeks to locate and classify named entity mentions in unstructured text into pre-defined categories such as the person names, organizations etc.
Contributions:32 commits, 2 PRs, 27 pushes in 2 months
extractionbertclinicalentityorganizations
R-aryan/competitive_vibes

Jul 2017 - Apr 2020

This Repository consists of all the programming questions that I solved on hackerearth and codechef, for my reference. But feel free to check it out , if possible please contribute to make it better.
Contributions:2 PRs, 32 pushes, 2 branches in 2 years 10 months
pythoncppconsistsjavascriptcheck-it-out
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Ritesh Aryan - Senior Data Engineer