About

Sankalp Apharande is a skilled Machine Learning/Software Engineer with a passion for building scalable ML systems in a fast-paced environment. With a Master's degree in Computer Science from Columbia University, he brings a wealth of experience in distributed systems, scalable deep learning systems, and concurrent programming in Go. Sankalp has a proven track record of success, having architected an MLOps framework to support over 30 ML models and 80M customer-base. He also built a data preprocessing pipeline that reduced the average training time from 2 hours to 36 mins. His experience in Machine Learning, Deep Learning, NLP, and Computer Vision has allowed him to develop an ML model that boosted business metrics by 4x. Sankalp's expertise in Python, Scala, Spark, SQL, Go, and C++ has enabled him to excel in building model deployment services, supporting 100,000 requests/day, and saving $1000/day in infrastructure costs. He has also engineered a service for Walmart Global Tech to save ~ $1000 daily server cost. As an Academic Tutor at Columbia University, Sankalp provides 1:1 academic tutoring for undergraduate students in Artificial Intelligence, Applied Data Science, Calculus I, Calculus II, Calculus III, and Introduction To Python For Engineers and Applied Scientists. Sankalp's education history includes a Master of Science in Computer Science with a Machine Learning track from Columbia University and a Bachelor of Technology and Master of Technology in Ocean Engineering and Naval Architecture with a Minor in Mechanical Engineering from the Indian Institute of Technology, Kharagpur. With 4.44 years of relevant experience, Sankalp is proficient in various tech stacks, including ML, Deep Learning, Backend, Software Engineer, SQL, Python, Spark, AI, Computer Vision, Sagemaker, Databricks, Scala, NLP, Apache Airflow, Kubernetes, Docker, Data Scientist, Elastic Search, Jenkins, CI/CD, and GCP. Sankalp is an avid contributor to open-source projects and has a Github profile with various projects.