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SuryanshSS1011/README.md

I am an honors CS undergrad at Penn State working on AI/ML systems and static analysis, and their safe, secure, and reliable deployment. I have also recently started contributing to open source.

My Research

  • Match Your Loss to Your Cost: Asymmetric Losses and Conformal Capacity Bands for Backbone Traffic Forecasting
    CNSM 2026 (submitted, single-blind)   code →

  • Scheduled Partial-Credit RL for Reliable Code Generation with Small Language Models (WIP)
    LCTES 2026   code →  paper ↗

  • Fixing Performance Bugs Through LLM Explanations
    IEEE AITest 2025   code →  paper ↗

Pinned Loading

  1. SecureCodeRL SecureCodeRL Public

    Scheduled Partial-Credit RL for Reliable Code Generation with Small Language Models. LCTES '26 WIP.

    Python

  2. match-loss-to-cost match-loss-to-cost Public

    Decision-aware traffic forecasting for backbone capacity planning. Asymmetric losses and conformal calibration to minimize operator cost rather than RMSE. Evaluated on Abilene, GÉANT, and CESNET-Ti…

    Python

  3. Performance-Bugs-LLM Performance-Bugs-LLM Public

    Detecting and explaining Java performance bugs with a fine-tuned LLM. Dataset of 490 bugs, code, and evaluation. IEEE AITest 2025.

    Python

  4. edge-inspection-agent edge-inspection-agent Public

    Python

  5. Shift Shift Public

    Shift v0.1.0 was engineered in 12 hours for the GDG @ Penn State Solution Challenge to solve a critical irony: using AI to save the planet while ignoring its energy cost. It balances personalized c…

    TypeScript 1 1

  6. Exhibit-A Exhibit-A Public

    Python