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Work Experience
Machine learning Intern
Scanta•  April 2022 - Present
• Developed model service on AWS LAMBDA with backend support on fast api and celery for delayed queuing tasks and made the existing architecture scalable and fast by a factor of 2x. • Model testing on big data of scale 1e9. • Updated existing models for NLP tasks by reducing latency from 612ms/step to 19ms/step with increased accuracy.
Intern
AMTDC-IITM•  December 2021 - February 2022
• Created subscription code for mqtt client for multiple publishers and improved existing architecture code by 1.5X(3000 message/seconds frequency.) • Connected it to main frame database for further processing in the machine learning model deployed on cloud for drift compensation up to scale of 1 nanometer. • Received data from sensors in the data logger then connected it to publisher code.
Data science Intern
DataRLabs•  August 2021 - November 2021
• Development of a web scrapping service (Selenium and beautifulsoup4), natural language processing(NLTK,spacy) and deep learning model. • For the final tokenization used BERT and ANNs(artificial neural nets) • Applied the clustering algorithms for finding alike sentences out of the more than 50000 sentences.
Education
Indian Institue of Information Technology , Ranchi
Electronics and Communication Engineering, B.Tech•  August 2019 - Present
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