Summary
Rohan Kotwani is an open source developer and data engineer with nine years of experience delivering cloud-native ML and data platforms across national security, retail, energy, and banking. He builds production-grade systems in Rust, Go, and Python and automates AWS infrastructure (S3, Lambda, ECS, Glue, SageMaker, Step Functions, Terraform) to operationalize RAG, rerankers, agents, and high-performance applications. His background spans the full ML lifecycle—from extreme class-imbalanced modeling and anomaly detection at the National Targeting Center to PySpark pipelines, optimization models (Gurobi/PuLP), and Azure/Databricks migrations for enterprise customers. An active technical writer, he publishes deep dives on software engineering and data science and holds an MS in Analytics plus certifications in TensorFlow and AWS, reflecting a blend of research-minded rigor and pragmatic delivery. Particularly notable is his recent focus on Rust-based production apps and generative AI toolchains, pairing low-level performance engineering with modern ML toolsets.
9 years of coding experience
5 years of employment as a software developer
Nanodegree Data Engineering, Nanodegree Data Engineering at Udacity
Master's degree Analytics, Master's degree Analytics at Louisiana State University
Bachelor's degree Electrical Engineering, Bachelor's degree Electrical Engineering at University of New Orleans
English, Spanish