Summary
Anchit Sharma is a software engineer with 8 years of experience building full-stack and data-driven systems, currently contributing at Twilio from Toronto. He combines hands-on engineering in backend services and big data ecosystems with applied machine learning skills honed during an MS in Data Science at the University of Minnesota. His background includes scaling payment and order pipelines at Amazon, optimizing Spark Streaming and storage at American Express to dramatically cut join and memory costs, and creating ETL and supply-chain tracing pipelines during graduate research. Comfortable across Python, Java, Kafka, Spark, DynamoDB and containerized deployments, he brings a practical blend of production engineering and data plumbing. Colleagues describe him as a pragmatic problem-solver who turns large, messy datasets into reliable pipelines and efficient services. He often bridges research and production work, translating experimental models and public data corpora into deployable analytics.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Engineering, 76.01%, Bachelor's degree, Computer Engineering, 76.01% at Delhi Technological University (Formerly DCE)
University of Minnesota Twin Cities