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Saaketh Sodanapalli
Intern AI/ML Engineer specializing in full-stack and data systems
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About
Built an LLM-powered customer segmentation agent during a Chewy internship, consolidating Snowflake data into a knowledge graph so non-technical marketing users could query customer cohorts in natural language. Stands out for combining agent/tooling design with rigorous data engineering practices, including schema audits, imputation, validation layers, and idempotent pipelines on messy large-scale datasets.
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Key Strengths
- Built an LLM-driven marketing segmentation MVP at Chewy using Snowflake data and a knowledge graph
- Designed multi-step agent workflows with tool calling and state tracking
- Improved agent predictability with human-in-the-loop confirmation, logging, and regression test cases
- Strong data quality and schema auditing skills on messy multi-source datasets
- Reduced a 200GB Spotify dataset to 3GB through normalization and redundancy cleanup
- Implemented validation, quality scoring, and review queues to prevent bad downstream actions
- Designed idempotent, replayable data pipelines with deterministic record hashing
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