About

Kunal Gusain is a skilled Computer Science Masters student at Virginia Tech, seeking full-time employment opportunities. He is currently working as a Software Engineer Intern at Microsoft, where he has developed a mechanism to decouple a container orchestrator in Azure service for enabling execution on the Edge platform. Kunal has a vast skill set, including proficiency in several programming languages such as Python, SQL, C++, Java, Scala, JavaScript, JQuery, Bash, HTML, and CSS. He is also experienced in several web technologies such as Node.js, AngularJS, React, Flask, Django, Redis, MongoDB, BoostStrap, Nginx, and Docker. Before joining Microsoft, Kunal worked for over three years at Urban Company (formerly Urban Clap) as a Senior Data Engineer. At Urban Company, he played a key role in building many of the company's data products from scratch, including an automated data platform, data ingestion pipelines ingesting over 100M+ events/day, and real-time streaming systems. He also led a team of three in a company-wide data warehouse migration of over 15TB data from Redshift to Snowflake. Kunal has also participated in Kaggle competitions, where he won a couple of bronze and silver medals. He possesses a vast array of technical skills, including experience with Luigi, Grafana, Prometheus, AWS, GCP, Looker, Sisense, Tableau, Periscope, Superset, Linux, and Agile. He is also proficient in several libraries such as PySpark, Pandas, NumPy, SciPy, Matplotlib, Scikit-learn, PyTorch, Keras, Seaborn, and Transformers. Kunal's educational background includes a Master's degree in Computer Science from Virginia Tech, a Nanodegree in Machine Learning Engineering from Udacity, and a Bachelor's degree in Computer Science from Guru Gobind Singh Indraprastha University. He completed his Higher Senior Secondary Education in Science with Biology, passed with distinction, from St. Mary's Senior Secondary School. Overall, with 4.27 years of relevant experience, Kunal Gusain is a highly skilled and motivated individual seeking new challenges in the field of computer science.