Hemanth Kumar

About Hemanth Kumar

Working as Machine learning / Mlops engineer with production/UAT/ Dev environments. Have experience as Data scientist and deploying models. Worked in GenAI field with developing LLM(Large Language models).Currently looking for job. Serving notice periodMobile no: 94••••••43

Experience

1. Machine Learning Engineer

   HCLTech

   May 2021 — Present · Hyderabad, IN

   CLIENT NAME: VERIZON TVsherpa is a recommendation system for setup box of FIOS. Verizon builds a new streaming servies.uses TVsherpa as a Recommendation system. It uses content-based filtering and collaboration-based filtering for developing the search basis of movies and customer suggestions. • Worked on LLM (large language model) models for prediction of the text based up on the inputs.• Used different machine learning algorithms like Clustering, classification techniques etc• Used NLP (Natural language processing) techniques and for voice search implemented NLU models• Automate deployment with CI/CD Jenkins. Containerizing applications using Docker.• Implemented AWS step function and AWS EMR • Writing the code in Python language. And scala for Ingestion pipelines• Creating the pipelines using MLFlow. ML model performance measurement• Implemented Word2Vec and Bert, TF IDF models for the inputs and the vector implementation.• Model version and tracking the models. And monitoring the drifts periodically, retraining the model.CLIENT NAME: APPLE Created a smart ticket management system model for CST ticketing tool. CST tickets are those which raises and maintains the priority tickets to track, maintain and resolve incidents. Where assigning the ongoing incidents based on the priority to the concerned team.This Project has been designed to reduce manual work related to assignment of Tickets support team as per description to their concerned teams• Data collection and cleaning with various techniques.• Automate deployment as CI/CD by Using AWS Sagemaker.• Containerizing applications using Docker. And deploying the Codes in Kubernetes.• Writing the code in Python language.• Creating the pipelines using Airflow. And implemented the running on PySpark jobs• Storing the data in Hadoop platform and monitoring the issues in production• Used different machine learning algorithms like KMeans Clustering, KNN etc

Education

• Siddhardha Public School

  school, Legal Studies, General

  1997 — 2009

• Hyderabad Alumni Association of JNTU College of Engineering, Kakinada

  Master of Technology - MTech, Computer Science

  2019 — 2021

• KL University

  Bachelor of Technology - BTech

  2011 — 2015

• Sri Chaitanya College of Education

  higher secondary school, Physics,maths,chemistry,computers

  2009 — 2009