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.
9 years of coding experience
3 years of employment as a software developer
High School, Informatics Pracitces, Physics,Chemistry,Math,English, 94%, High School, Informatics Pracitces, Physics,Chemistry,Math,English, 94% at St. Michael's High School - India
Nanodegree, Machine Learning Engineer, Nanodegree, Machine Learning Engineer at Udacity
Bachelor’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
Secondary School, Mathematics ,Computer Science,Science,English, 94.4%, Secondary School, Mathematics ,Computer Science,Science,English, 94.4% at Don Bosco Academy, Patna
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
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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