Ainesh Sootha is a software engineer with eight years of experience building production systems, currently focused on LLM inference for ads at Amazon after contributing inference optimizations and custom model import features for AWS Bedrock. A Purdue Computer Engineering graduate with a philosophy minor, he brings a pragmatic engineering mindset informed by critical thinking and academic teaching experience. His background spans real-time data processing with Kafka, serverless deployments, and computer vision/tracking for Just Walk Out technology, showing strong full-stack and systems chops. Proven at moving prototypes into production, he has shipped automation for AWS Lambdas, designed mirroring architectures between streaming and RDBMS systems, and led a nonprofit inventory app project—demonstrating both product focus and operational rigor. Based in the New York City area, he blends cloud-native performance tuning with applied ML/LLM deployment work that targets low-latency, high-scale inference.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Purdue University
Contributions:26 commits, 23 pushes, 1 branch in 1 year 8 months
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