Reetika Roy
Summary
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RockstarReetika Roy is a Staff Software Engineer based in the San Francisco Bay Area who blends machine learning research with production-grade MLOps and observability. With a Master's in Computer Science from UMass Amherst and experience spanning Sumo Logic, TruEra, and Snowflake, she has driven measurable platform improvements—reducing ML computation latency up to 5x and increasing concurrent user capacity 4–6x through targeted caching and infrastructure work. Her expertise spans model explainability, ML monitoring, LLM evaluation, and building ML-specific UDFs and SDK features that bridge diagnostics and monitoring. She leads design and implementation of agent platforms and Cortex agents at Snowflake, translating research-grade ML techniques into scalable, user-facing systems. Known for joining cross-functional design discussions and ensuring functional parity during migrations, she pairs deep technical chops with an appetite for solving real-world ML problems. An early interest in how data tells business stories informs her pragmatic focus on observability and fairness in deployed models.
2 years of coding experience
Github Skills (7)
llmops9
ai-agent9
machine-learning9
llm8
snowflake6
python1
conda1
Programming languages (1)
Github contributions (4)
truera/trulens
Dec 2024 - Apr 2025
Evaluation and Tracking for LLM Experiments and AI Agents
Contributions:4 reviews, 5 PRs, 7 pushes in 4 months
ai-agentllmmachine-learningneural-networksexplainable-ml
Snowflake-Labs/sf-samples
Jul 2024 - Aug 2024
Sample files, code snippets and downloads for Snowflake labs and tutorials.
Contributions:2 PRs, 1 push, 2 branches in 3 days
snowflake
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