About

Hary Krishnan is a highly skilled Software Engineer with 6.78 years of relevant experience in the field. He is currently working as a Software Engineer II at Microsoft, where he has been contributing his expertise in Machine Learning/Data since joining the company. Prior to this, he worked as a Software Engineer III at Walmart, where he developed a data sync microservice in Typescript to schedule ingestion of both external and internal data into BigQuery, coded Kafka modules for async messaging between services, and coded a daily job to update the last 30 days of text/vector data from GBQ/GCS to distributed Memcached. Hary has a Master of Science in Information Technology from Carnegie Mellon University and a Bachelor of Engineering in Computer Engineering from the College of Engineering, Guindy. He is also pursuing an Artificial Intelligence Professional Program from Stanford University, which he will complete in 2022. Hary's technical expertise includes SQL, Apache Airflow, Azure, Databricks, Python, ML, BERT, XGBoost, Kubernetes, Docker, ETL, NLP, Spark, CI/CD, Pandas, DevOps, Typescript, Kafka, and Microservices. He has worked on various projects, such as Time Series Sales Forecasting, NLP Classifier of Prescribers, and Anomaly Detection of Cash Shrink, where he has used his skills to develop and implement innovative solutions. Hary is a problem solver and enjoys sharing his knowledge with others. He has published several articles and videos on LinkedIn, including a Leetcode problem-solving video and an article on Reorder Data Log Files. Hary believes in the Protégé effect, which states that the best way to learn something is to teach it.