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Meghdad Farahmand

Lead Data Scientist/Machine Learning Engineer

Can work in or around Berlin

  • 52.517
  • 13.3888
  • Suggested rate €1,200 / day
  • Experience 7+ years
  • Response rate 100%
  • Response time 1 hour
Propose a project The project will begin once you accept Meghdad's quote.

This freelancer is available part-time (2 days per week) but hasn't confirmed their availability in over 7 days.

Part-time, 2 days per week

Propose a project The project will begin once you accept Meghdad's quote.

Location and workplace preferences

Berlin, Deutschland
Can work onsite in your office in
  • around Berlin and 50km


Business sector
Would prefer to avoid:
Digital & IT


Freelancer code of conduct signed
Read the Malt code of conduct

Verified email



  • Persian

    Native or bilingual

  • English


  • German



Skills (14)

Meghdad in a few words

Meghdad has more than 10 years of experience in Machine Learning and Natural Language Processing that includes the development of state-of-the-art NLP models for international clients such Siemens, Unilever, and Allianz. He has a strong theoretical background in Computer Science with a focus on Machine Learning that includes a BSc in computer engineering, an MSc in computer science with a specialization in Intelligent Systems, and a Ph.D. in computer science with a specialization in NLP. Meghdad can be considered as an applied data scientist capable of developing scalable individual solutions leveraging state-of-the-art research and development methods.



Software Publishing

Lead NLP - Machine Learning Engineer

Berlin, Deutschland

October 2020 - July 2021 (9 months)

Defined a roadmap for developing NLP software components, packages, and pipelines with respect to the observed market signals. Advised clients through workshops about how they can get value out of data using state-of-the-art Data Science methods. Developed several NLP packages as well as prototypes for various clients.


Software Publishing

Senior Data Scientist

Berlin, Deutschland

October 2018 - June 2020 (1 year and 8 months)

Developed and deployed a deep learning-based text classification pipeline. Carried out experiments with Transfer Learning, Anomaly Detection, and Multitask Learning methods in the deployed classification and Named Entity Recognition (NER) micro-services in order to improve their performance. Carried out statistical, distributional and syntactic analysis of textual data for improving the performance of downstream models. Co-advised MSc theses on NER and Active Learning. Developed a text-to-text mapping service based on a Siamese neural network.
Deep Learning Machine Learning Named Entity Recognition Anomaly Detection Software Architecture NLP Intelligent Document Processing

Market Logic Software

Software Publishing

Data Scientist

Berlin, Deutschland

February 2017 - September 2018 (1 year and 7 months)

Developed and deployed deep learning-based NLU and NLG services for a chatbot as well as a reinforcement learning based dialogue manager. Developed a sentence classification pipeline with online learning. Researched Question Answering, NLG, and Abstractive Summarization and studied the feasibility and performance of cutting-edge methods therein, in production. Implemented several incremental learning methods for real time training of the existing models,
NLP Deep Learning Chatbot Reinforcement Learning Insight Extraction Knowledge Graph Question Answering