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Maee127/README.md

Hi, I'm Maedeh Torkian 👋

Applied AI and Machine Learning Engineer building reliable systems for documents, audio, business data, and model decision support.


🚀 What I Build

I design applied AI systems that transform unstructured business information—such as documents, catalogues, contracts, and recorded conversations—into structured, reviewable, and actionable results.


📂 Featured Work

🧠 Applied AI Agents

  • Sales Call Analysis Agent – Transcribe and analyze sales conversations
  • Catalog Vision Extractor – Extract structured data from product catalogs
  • Contract Analysis Agent – Automate contract review and risk assessment

🔬 AI Reliability Research

  • The Humble Model Series
  • Adversarial robustness
  • Uncertainty and OOD detection

📊 Machine Learning Applications

  • California House Price Predictor
  • Classification and model comparison

🛠️ Problems I Can Help Solve

  • Automating repetitive document review
  • Extracting structured data from complex PDFs
  • Analyzing sales calls and coaching performance
  • Building RAG and rubric-evaluation systems
  • Integrating AI models with APIs and databases
  • Designing human-review and reliability controls

💻 Technical Focus

Python · FastAPI · PostgreSQL · Pydantic · PyTorch · Transformers · RAG · NLP · Speech AI · Vision LLMs · Docker · Testing


✍️ Writing and Research

📝 Medium – The Humble Model Series


📫 Connect With Me

LinkedIn Medium Kaggle

Pinned Loading

  1. Agents Agents Public

    Reliable AI agents for sales-call intelligence, contract analysis, and multimodal catalogue extraction.

    Python 1

  2. Adversarial-Notebooks Adversarial-Notebooks Public

    Research notebooks and essays on adversarial attacks, defenses, uncertainty, OOD detection, and model awareness.

    Jupyter Notebook 1

  3. House_Price_Predictor House_Price_Predictor Public

    End-to-end California house-price prediction application with model comparison, evaluation, and Streamlit deployment.

    Jupyter Notebook 1

  4. ML-Training ML-Training Public

    Comparative classification experiments covering preprocessing, tuning, evaluation, and reusable ML pipelines.

    Jupyter Notebook

  5. Bots Bots Public

    AI-powered application prototypes with model integration, APIs, databases, and deployable interfaces.

    Python