Rohan Borde is a Software Engineer with nine years of experience building large-scale big data and real-time streaming systems, currently implementing AI/ML models and cloud-deployed data processing at Caterpillar in Seattle. He has a strong full-stack Java and Python background with hands-on expertise in Spark, Kafka, AWS (Lambda, EMR, S3, ECS, CDK), and distributed ETL pipelines developed at Amazon and HERE Technologies processing billions of records. Rohan has delivered end-to-end solutions—designing serverless workflows, Near-real-time Kinesis consumers, and Spark jobs for coverage and accuracy detection—while also migrating legacy analytics platforms to AWS. He blends systems-level optimization (e.g., high-throughput schedulers and ETL performance tuning) with product-minded features from his independent web and mobile projects, where he led architecture, SEO and team coordination. Fluent in both research-oriented ML tooling and production engineering, he pairs an IIT Chicago CS master’s with practical experience turning complex traffic and video telemetry into reliable, scalable data products.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Information Technology, First Class, Bachelor's degree, Information Technology, First Class at Pune Institute of Computer Technology
Master’s Degree, Computer Science, 4, Master’s Degree, Computer Science, 4 at Illinois Institute of Technology
Contributions:11 pushes, 1 branch in 1 year 11 months
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