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aghasalim/README.md

Aghasalim Mustafazada

Third year AI student at Howest, Belgium. Mostly anomaly detection and interpretability. I get suspicious of results that only work on the benchmark, so I check my own numbers before anyone else does.

Open to AI and backend internships.

Tools

Python, C++, SQL, Bash. PyTorch, scikit-learn, LightGBM, Transformers, SHAP. FastAPI, Streamlit, Docker, GitHub Actions, PostgreSQL, Raspberry Pi, Arduino.

Other

Paper: A Multilingual Groundedness Detector that Runs on a Raspberry Pi, with Teymur Eyvazov, SSRN 2026.

Gold medal at the International STEM Olympiad in mathematics, 2022. Scored 0.9086 on the IEEE-CIS private leaderboard, which Kaggle graded against labels I never got to see.

Contact

salim.mustafazada@student.howest.be

Website · LinkedIn · Kaggle · ORCID

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  1. arc-prize-2026 arc-prize-2026 Public

    ARC-AGI-2 attempt: an object-centric DSL with verifier-backed program search. 3.9% on public training, 0% on public evaluation, and why.

    Python 2

  2. eu-ai-act-rag eu-ai-act-rag Public

    Grounded question answering over the EU AI Act, with retrieval, faithfulness and hallucination measured on 45 hand-written questions.

    Python 2

  3. explainable-defect-detector explainable-defect-detector Public

    Anomaly detection for visual defect inspection: trained on normal images only, with localisation. PyTorch + MVTec AD.

    Python 2

  4. lora-forgetting lora-forgetting Public

    LoRA fine-tuning a small LLM for structured extraction, with the catastrophic-forgetting check most projects skip. Both numbers reported.

    Python 2

  5. mlops-fraud-pipeline mlops-fraud-pipeline Public

    Fraud model behind FastAPI with CI gating and drift monitoring, where the monitoring is tested against a healthy null.

    Python 2

  6. ieee-fraud-ml ieee-fraud-ml Public

    IEEE-CIS fraud detection end to end with leak-free validation and a documented decision trail. 0.9086 on the private leaderboard.

    Python 2