Rohan Pote
About Rohan Pote
Rohan Pote is a Software Engineer specializing in data platforms, currently working at Anaplan in London. He has a background in machine learning, cloud integration, and microservices architecture, with previous roles at Anaplan, Wipro Limited, and Rang Technologies.
Work at Anaplan
Rohan Pote currently works at Anaplan as a Software Engineer in the Data Platform team since 2021, based in London, England. Prior to this role, he held two positions at Anaplan. He served as an Associate Machine Learning Engineer from 2019 to 2020 in Minneapolis, Minnesota, and then as an Associate Platform Engineer from 2020 to 2021 in the Greater Minneapolis-St. Paul Area. During his tenure, he contributed to significant projects, including the design and implementation of Cloudworks, a data integration platform that manages over 30,000 daily data transfer jobs.
Education and Expertise
Rohan Pote holds a Bachelor of Engineering (B.E.) in Information Technology from Savitribai Phule Pune University. He furthered his education by obtaining a Master’s Degree in Computer Science from the University of Illinois Springfield, where he studied from 2016 to 2017. His expertise includes machine learning, data integration, and software engineering, with a strong focus on cloud technologies and data platforms.
Background
Rohan Pote began his career at Wipro Limited, where he worked as an Analyst from 2012 to 2014 and later as a Project Engineer from 2014 to 2016 in Pune, India. He also gained experience as an Analyst in Data Science at Rang Technologies Inc in 2018. Additionally, he worked as a Graduate Student Worker at the University of Illinois Springfield in 2017. His diverse background in both engineering and data science has equipped him with a broad skill set applicable to various technology sectors.
Technical Contributions
Rohan Pote has made notable technical contributions throughout his career. He enhanced the microservices architecture of Cloudworks using technologies such as Python, Flask, Django, MySQL, RabbitMQ, and Redis. He implemented Kubernetes practices to improve platform resilience and reduced service downtime through efficient CI/CD deployments. Additionally, he improved ETL performance by building batch data pipelines using Python, Airflow, Docker, and Kubernetes, and set up monitoring tools to maintain service observability.
Integration and Collaboration
During his time at Anaplan, Rohan Pote integrated various services, including Anaplan with Salesforce Einstein and AWS Forecast, to enhance forecasting accuracy and sales performance for enterprise clients. He collaborated closely with Product Owners and Architects to translate requirements into viable products, emphasizing Agile methodologies. His work involved integrating services with monitoring tools such as Splunk, SignalFx, New Relic, Grafana, and PagerDuty to improve production issue response times.