Skip to content
View elaheh-dastan's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report elaheh-dastan

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
elaheh-dastan/README.md

Hi, I'm Elaheh πŸ‘‹

Senior Data Scientist / ML Engineer

Resume Email LinkedIn Google Scholar Medium

I'm a Senior Data Scientist / ML Engineer with 7+ years of experience designing and shipping end-to-end machine learning systems β€” from data pipelines and retrieval models to production agentic LLM applications. I hold a B.Sc. in Software Engineering and an M.Sc. in Artificial Intelligence from Amirkabir University of Technology, and I've built ML systems at Digikala, Snapp!, Asan Pardakht, and Nahal spanning search & retrieval, ETA prediction, recommendation systems, and β€” most recently β€” agentic LLM pipelines. My research on deep ETA prediction for urban transport was published at IEEE Intelligent Vehicles Symposium 2022.

  • πŸ”­ Recently building agentic LLM systems β€” RAG, LLM-as-judge evaluation, multi-agent pipelines with LangChain/LangGraph and Pydantic AI
  • βš™οΈ Comfortable end-to-end: Python & Go, PyTorch/TensorFlow, and MLOps tooling like Airflow, MLflow, and Kubeflow
  • πŸ“„ Full resume, always up to date: elaheh-dastan.pdf
  • ✍️ I occasionally write on Medium
  • 🍭 Fun fact: I do love lollipop

Tech Stack

Python Go PyTorch TensorFlow LangChain Hugging Face Kafka Airflow PostgreSQL Redis Docker Kubernetes Grafana GCP AWS Azure

Elaheh's GitHub stats Top Languages

Elaheh's GitHub streak

Pinned Loading

  1. data-scientist-interview data-scientist-interview Public

    Real interview questions, answers, and code from data scientist interviews at Cafebazaar, Digikala, Apple, Picnic, and Proxify

    Python 25 2

  2. AI-engineer-interview AI-engineer-interview Public

    AI Engineering Interview Questions and Problems

    Python 2

  3. newborn newborn Public

    A Go generics-based library for classic ML algorithms: KNN, linear/logistic/polynomial regression, k-means clustering, Gaussian Naive Bayes, preprocessing and evaluation metrics.

    Go 11 1