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Nate Fedida
Junior Software Engineer specializing in full-stack development and applied machine learning
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About
Revamped a university academic calendar system into a Python-based calendar generation service, turning a weeks-long manual scheduling workflow into software that generates dozens of valid calendar combinations in under a minute. Also contributed to an Amazon search ML classifier by introducing precision/recall evaluation to better surface critical failure modes and improve prediction quality.
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Key Strengths
- Built and revamped an academic calendar generation service end-to-end (Python + web UX/UI)
- Delivered major performance improvement: weeks of manual admin work reduced to under a minute for dozens of schedule combinations
- Risk-managed backend refactor via incremental migration while keeping old behavior runnable
- Validated refactor correctness against known-good semester outputs to protect data/rule integrity
- Security-minded API approach (auth, validation, rate limits, least privilege/RBAC)
- Improved ML classifier robustness by introducing precision/recall-based evaluation and error-rate reporting
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1 publication
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