About

Vaibhav Agarwal is a dedicated and hardworking software engineer with over 2 years of relevant experience. He is currently working as a Software Engineer at LeadSquared, where he is involved in building their next-gen reporting and analytics platform. Vaibhav is a certified SAFe® 4 Practitioner and is skilled in Statistical Data Analysis, Big Data, Python (Programming Language), Time Series Analysis, Machine Learning, NLP, and Deep Learning. He holds a Bachelor of Technology degree focused on Computer Science with a Data Science specialization from PES University and is currently pursuing a Master of Science degree in Computer Science from Georgia Institute of Technology. Vaibhav's major accomplishments include developing Deep Learning and Statistical Models for early Detection of White Stem Borer Disease in Arabica Coffee in collaboration with ISRO and Coffee Board. He has also worked on the Prediction of the network usage and failures using Time Series Analysis at IIT Mandi and developed Techniques for textual analysis of low resource Indian languages using Transfer Learning at PES University. At HPE, Vaibhav worked on System performance monitoring and fault prediction via log analysis using ML concepts and visualization and developed a PoC on an Automated Support Chat Bot, earning First prize in HPE Storage Hackathon. Currently, at LeadSquared, Vaibhav is working as a software developer in the HPE Synergy ImageStreamer (i3s) team (Hybrid IT BU). He has built a model of web traffic analysis of Software-Defined Infrastructure (using Oneview and i3s support dumps) that provides highly effective visualization insights for key parameters and also provides usage/fault patterns predictions. Vaibhav has also developed an easy-to-use application for using the model. Additionally, he has prototyped and tested using cloud-init for OS personalization and deployment on i3s. Vaibhav has previously worked as a Software Engineer at Hewlett Packard, where he was involved in Backend development on the Functions, Analytics, and GraphQL modules. He has also worked on the new Rest API Framework and developed a POC on an Automated Support Chat Bot, earning first prize in HPE Storage Hackathon. Vaibhav has also worked as a Research Intern at ISRO, where he did research in the fields of Deep Learning, Machine Learning, Statistical Modeling, and Image Processing for Remote Sensing. Vaibhav's tech stack includes Software Engineer, ML, Python, Deep Learning, SQL,