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cdywolf/README.md

Candy Aho

AI & Data Engineer · Casablanca, Morocco

I build systems that turn messy documents and raw data into something usable
and I measure where they break.

Email Portfolio LinkedIn Kaggle


🔬 Recent work

  • Parameter-efficient fine-tuning for Donut (OCR-free document understanding) benchmarked 16 PEFT configurations and matched full fine-tuning accuracy while training 0.57% of the parameters and shipping a model 4× smaller.

  • Adversarial evaluation suite for an open-source LLM research agent 60 tasks across 6 failure categories, instrumented for sub-queries, sources, token cost and latency. Root-caused failures to planning and retrieval rather than generation, and found a monolithic 24k-token write call driving the bill.


🎯 Focus

Document AI OCR-free extraction & layout understanding  ·  LLM agents & RAG  ·  Model compression & inference-cost reduction  ·  Evaluation & observability  ·  NLP  ·  Computer vision  ·  Time-series forecasting


🛠️ Stack

Python PyTorch PyTorch Lightning Hugging Face LangChain LangGraph ChromaDB Langfuse scikit-learn pandas SQL Django


GitHub stats

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  1. Agent_reliability_study Agent_reliability_study Public

    Jupyter Notebook 1

  2. donut-peft-benchmark donut-peft-benchmark Public

    Benchmarking PEFT methods (LoRA, QLoRA, MTLoRA, PTQ) on Donut for OCR-free document understanding

    1

  3. browser-use-cost-teardown browser-use-cost-teardown Public

    Python 1

  4. llm-eval-mcp llm-eval-mcp Public

    Python

  5. Django_Web_App_For_Weather_Prediction Django_Web_App_For_Weather_Prediction Public

    Python 1

  6. sales_forecasting sales_forecasting Public

    sales_times_series_prediction

    Jupyter Notebook 1