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tarekmasryo/README.md

Tarek Masryo Banner

Typing SVG

AI/ML Engineer building production ML services and reliable GenAI apps (RAG + Agents).
From raw data → validated pipelines → deployed APIs → decision-ready dashboards.

Kaggle Datasets Grandmaster Kaggle Notebooks Master

GitHub Website Repos LinkedIn

Kaggle Hugging Face Streamlit

🧭 What I do

Area What you can expect
Production ML delivery Data validation + leak-safe evaluation → calibrated models → threshold policies → inference-ready artifacts
GenAI (RAG & Agents) Grounded RAG, structured extraction/summarization, tool-calling agents with guardrails & evaluation
ML APIs & deployment Dockerized FastAPI services, strict request/response schemas, versioned artifacts, CI-friendly delivery
MLOps & monitoring MLflow tracking, monitoring signals (latency/errors/drift/cost), reproducibility and quality gates
Applied NLP & CV NLP: classification/extraction/semantic search • CV: classification/detection/segmentation

🌟 Featured

🧩 Dashboards & Apps

Project Focus Link
Fraud Detection Dashboard Streamlit app integrated with ML artifacts + decision-first UX Repo
Streamlit profile Deployed dashboards gallery Profile
Hugging Face profile Spaces + Datasets Profile

🤖 GenAI (RAG & Agentic Workflows)

Project Focus Link
LLM System Ops — Production Telemetry LLM/RAG monitoring signals: quality, cost, latency, failure patterns Repo
RAG QA Evaluation Logs & Corpus Retrieval + answer quality evaluation with realistic logs Dataset

📦 Data products (Kaggle)

Dataset What it’s for Link
YouTube Shorts & TikTok Trends 2025 Short-form trends analytics and virality exploration Dataset
Cancer Risk Factors Clean features for health EDA and risk modeling Dataset
Football Matches 2024/2025 (Top Leagues + UCL) Standardized match-level data for analytics/modeling Dataset
Digital Lifestyle & Mental Wellness Behavioral signals for wellbeing analytics and prediction Dataset

🧰 Systems & Pipelines

Project Focus Link
Credit Card Fraud Detection — A Pipeline Journey End-to-end pipeline layout + evaluation mindset Repo
Text Sentiment Analysis NLP workflow + clean evaluation structure Repo
Pima Diabetes Pipeline Tabular ML pipeline layout (train/evaluate/infer) with validation + reproducible runs Repo

🛠️ Tech stack

Category Tools
Languages & Core Python SQL Bash Git Linux
Data & Analytics NumPy Pandas Polars DuckDB Jupyter
ML / DL PyTorch TensorFlow scikit-learn XGBoost LightGBM
NLP / CV / LLM Hugging Face Transformers OpenCV
Visualization & Apps Matplotlib Seaborn Plotly Streamlit Gradio
APIs & Deployment FastAPI Pydantic Docker Postgres
GenAI / RAG Stack LangChain LlamaIndex FAISS pgvector
MLOps & Quality MLflow GitHub Actions pytest Ruff

🤝 Collaboration

  • 🚀 Build & ship ML/GenAI products: FastAPI + Docker, clean contracts, production-ready delivery
  • 🧠 RAG/LLM reliability: retrieval evaluation, grounded answers, guardrails & regression suites
  • 🛠️ MLOps: MLflow tracking, CI quality gates, monitoring signals (latency/errors/drift/cost)

Best contact: LinkedIn

If you find the work useful, a ⭐ helps more people discover it.

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  1. pima-diabetes-pipeline pima-diabetes-pipeline Public

    End-to-end diabetes risk prediction pipeline (Pima): EDA → feature engineering → calibration + cost-aware threshold → deployable artifacts.

    Jupyter Notebook 9

  2. tarekmasryo.github.io tarekmasryo.github.io Public

    Tarek Masryo — AI/ML Engineer Portfolio

    JavaScript 2

  3. text-sentiment-analysis text-sentiment-analysis Public

    IMDB reviews sentiment analysis: EDA → TF-IDF baselines (NB/LogReg/Linear SVM + calibration) → F1 threshold tuning → explainability → BiLSTM baseline.

    Jupyter Notebook 6

  4. fraud-detection-dashboard fraud-detection-dashboard Public

    Production-minded Streamlit + Plotly fraud detection dashboard with decision policies (Strict/Balanced/Lenient), cost-vs-threshold analysis, and calibrated model artifacts.

    Python 5

  5. rag-qa-logs-corpus-data rag-qa-logs-corpus-data Public

    Synthetic multi-table RAG QA telemetry benchmark (corpus→chunks→retrieval→eval): labels for correctness/faithfulness/hallucination + cost/latency for RAG evaluation and dashboards.

    2

  6. llm-system-ops-production-telemetry-sft-data llm-system-ops-production-telemetry-sft-data Public

    Production-grade synthetic dataset for LLMOps: interaction-level telemetry (latency/cost/tokens), failure RCA, tool-use analytics, user feedback, plus 1:1 aligned SFT samples.

    1

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