About

Harsh Lalwani is a recent graduate in Computer Science from Arizona State University, with a passion for Data Analytics, Software Development, and Research. He is currently working as a Software Engineer at State Farm, where he is developing Artificial Intelligence Voice bots using Microsoft cognitive service and other cloud services. With 2.78 years of relevant experience, Harsh has also worked as a Freelance Software Developer at NCR Financial Services Limited, where he designed and developed machine learning applications as a microservice for bank statement analysis for loan prediction. He was responsible for analyzing pre-written thousands of lines of code and developing inside the existing environment, using Flask, Docker, scikit-learn, MariaDB, Digital Ocean, Git, and Python. Harsh has also worked as a Research Assistant at Arizona State University, where he developed a metric-based search tool for the Greek language. He implemented NLP tools in Python, read and processed XML, CSV, and TSV dataset using Element Tree in JavaScript, and designed the Front-End tool for search in HTML and JavaScript, with Back-End code in Python. Harsh's education includes a Master's degree in Computer Science from Arizona State University and a Bachelor's degree in Computer Science from Jabalpur Engineering College. His TechStack includes Software Engineering, Research Science, Python, Scikit, Docker, ML, Microservices, Flask, Javascript, Search, NLP, Frontend, and Backend. Harsh is available for full-time roles and is enthusiastic about exploring new opportunities in the field of Data Analytics, Software Development, and Research.