Preetam Joshi is a founder and senior software engineer with 14 years of experience building large-scale ML and personalization systems across startups and Fortune-tier companies. He led machine learning platform work at Netflix—contributing to Metaflow, a historical fact store, a Scala ML library, and an offline experimentation platform—and previously ran core ML products and teams at Thumbtack. His background spans content personalization and ranking at Yahoo, research in agent-based enterprise simulations at Georgia Tech, and early AI work at DRDO, reflecting a blend of academic rigor and product-driven engineering. Now leading Aimon Labs, he combines hands-on systems design with entrepreneurial execution, focused on production-ready ML infrastructure. Notably, he’s comfortable moving between interpretable heuristics and advanced deep learning, prioritizing pragmatic solutions that scale. Based in the United States, he brings cross-domain depth in recommender systems, platform engineering, and applied research.
13 years of coding experience
13 years of employment as a software developer
BE Computer Science and Engineering, BE Computer Science and Engineering at Visvesvaraya Technological University
MS Computer Science-Information Security, MS Computer Science-Information Security at Georgia Institute of Technology
This repo hosts the Python SDK and related examples for AIMon, which is a proprietary, state-of-the-art system for detecting LLM quality issues such as Hallucinations. It can be used during offline evals, continuous monitoring or inline detection. We offer various model quality metrics that are fast, reliable and cost-effective.
Contributions:10 releases, 48 reviews, 75 PRs in 11 months
Aimon Rely is a state-of-the-art, multi-model API that provides detectors for LLM quality metrics in both offline evaluation and online monitoring scenarios.
Contributions:47 pushes in 3 months
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