About

Ramit Surana is a Lead Software and ML Engineer with a Master's degree in Data Science and Engineering from Birla Institute of Technology and Science, Pilani, and a Bachelor of Technology in Electronics and Communications Engineering from B.K. Birla Institute of Engineering & Technology, Pilani. He has 3.95 years of relevant experience and is proficient in ML, AWS, Terraform, AI, Big Data, SRE, Kubernetes, Tensorflow, Pytorch, Adversarial Networks, Data Engineering, GCP, Software Engineering, Senior Software Engineering, Jupyter, Data Science, Research Science, Jenkins, DevOps, Backend, and infra. Ramit has hands-on experience with Tensorflow, Pytorch, Terraform, Kubernetes, AWS Components, and has previously built medical platforms in the Healthcare industry with HIPAA and Fed Ramp Compliance. He is proficient in using ML techniques to automate workflows using text processing and NER (Named Entity Recognition) on word and pdf format based documents. Ramit is currently working on MLM and Seq2Seq models using HuggingFace Libraries and Pytorch. Ramit is also experienced in doing Well Architected Reviews (WAR) sessions and helping customers in AWS architecture reviews using different use case-based lenses. He supports pre-sales activity to enable sales on Software Development, AWS Analytics, AI/ML related projects, and has previously worked on Large Scale Migration Projects with BookMyShow. He led a Large Scale Big Data Project for Migration involving a team size of 40 people. Ramit has several certifications, including Certified Kubernetes Administrator, Google Tensorflow Developer Certificate, Google Cloud Platform Business Professional Accreditation, Data Engineering, Big Data, and Machine Learning on GCP, Generative Adversarial Networks (GANs) by DeepLearning.AI, Hashicorp Terraform Associate, and AWS Solutions Architect Associate. Ramit's past companies include techminfy, where he worked as a Site Reliability Engineer, and Hitachi, where he worked as a Cloud Engineer. At Hitachi, he was part of the Digital Insights team, supporting them with Application Development and DevOps related activities. He had the opportunity to work with some client-side companies that are amongst the top Fortune 500 companies. Part of his role was to maintain and improvise the efforts towards provisioning EMR Clusters, GPU Single Node Instances, and backend infrastructure with Data Science Tools such as Jupyter Hub, Jupyter Lab, and RStudio. He worked on the AWS