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sheperd007/README.md

Hi, I'm Hamid Jahani 👋

Data Scientist & Machine Learning Engineer — production NLP, RAG, LLM agents & MLOps

LinkedIn Portfolio Email

👨‍💻 About

Data Scientist & ML Engineer with 5+ years taking models from notebook to production — named-entity recognition, retrieval-augmented generation (RAG), LLM agents, real-time IoT anomaly detection, and large-scale MLOps. M.S. in Statistics (Data Science), first in class, with published research in EEG deep learning. I build systems that move real metrics: revenue, retention, and time-to-production.

  • 🔭 Currently: mentoring at Great Learning & building a real-time Industrial IoT predictive-maintenance platform (SensesIQ).
  • 🌱 Focus: production LLM/RAG systems, MLOps & monitoring, time-series & anomaly detection.
  • 💬 Ask me about: shipping ML to production, RAG pipelines, statistical inference at scale.
  • 🌍 Open to Data Scientist / ML Engineer roles — remote or relocation (EU · Canada · Australia; visa sponsorship).

🚀 Featured Projects

Project What it is
Interactive Portfolio + RAG Chatbot · Live ▶ Multi-page Streamlit portfolio with a LlamaIndex + OpenAI chatbot that answers recruiter questions over my résumé.
Job-Hunter Self-hosted agentic stack (n8n + FastAPI + Postgres) that finds visa-sponsored jobs, matches them to a résumé, and sends Telegram approvals — with an LLM budget guard and 63 tests.
EEG Deep Learning for ADHD CNN / custom ResNet on EEG time-frequency images — ~98.6% subject-level accuracy (published in Cognitive Computation, 2024).
LLM Zoomcamp Capstone "IT Group Assistant" RAG app: FastAPI + OpenAI, Postgres logging, Grafana monitoring, Dockerized, with LLM-as-judge evaluation.
Predictive Maintenance (Gas Industry) Reliability analytics on ISO 14224 / PHMSA data — ARIMA/SARIMA forecasting, clustering, Poisson regression.
Mathematical Statistics with R Code companion to my book — mathematical statistics & inference via Monte-Carlo simulation in R.

📚 Publications & Writing

  • H. Jahani, A. A. Safaei. EEG-based deep learning for childhood ADHD diagnosis. Cognitive Computation, 2024.
  • A. A. Safaei, H. Jahani. Chapter in Handbook of Neural Engineering, Vol. 1, Elsevier, 2023.
  • H. Jahani. Mathematical Statistics with R (book). Allameh Tabataba'i University Press, 2020.

🛠️ Tech Stack

Python R Apache Spark SQL Server
PyTorch TensorFlow scikit-learn Pandas NumPy
FastAPI Flask Docker AWS Kafka
Airflow MLflow GitLab CI Linux Power BI

📊 GitHub Stats

stats top langs

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  1. Mathematical-Statistics-with-R Mathematical-Statistics-with-R Public

    Code companion to my book Mathematical Statistics with R - statistical inference via Monte-Carlo simulation

    Jupyter Notebook 4 1

  2. Predictive-maintenance-in-the-gas-industry Predictive-maintenance-in-the-gas-industry Public

    Reliability and predictive-maintenance analytics on ISO 14224 / PHMSA data: ARIMA/SARIMA forecasting, clustering, Poisson regression

    Jupyter Notebook 3

  3. Efficient-Deep-Learning-Approach-for-Diagnosis-of-ADHD-in-Children-Based-on-EEG-Signals Efficient-Deep-Learning-Approach-for-Diagnosis-of-ADHD-in-Children-Based-on-EEG-Signals Public

    EEG-based ADHD diagnosis in children using CNN and a custom ResNet on time-frequency images (published, Cognitive Computation 2024)

    Jupyter Notebook 1

  4. LLM-zoomcamp LLM-zoomcamp Public

    LLM Zoomcamp coursework plus a capstone RAG app (FastAPI + OpenAI, Postgres logging, Grafana monitoring, Dockerized)

    Jupyter Notebook

  5. streamlit-resume streamlit-resume Public

    Interactive Streamlit portfolio with a LlamaIndex + OpenAI RAG chatbot over my resume - live demo

    Python