Merve Noyan

AI Researcher

Greater Paris Metropolitan Region6 yrs 8 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in developing open-source ML libraries.
  • Significant improvements in NLP metrics through innovative solutions.
  • Proven track record in building impactful machine learning applications.
Stackforce AI infers this person is a Machine Learning Engineer specializing in NLP and SaaS applications.

Contact

Skills

Core Skills

Neural NetworksMachine LearningNatural Language Processing

Other Skills

Computer SciencePythonPyTorchTensorFlowRasaAWSFlaskHugging FacespaCyNLTKsklearnNatural Language Processing (NLP)Data AnalysisMLOpsGit

About

open-sourceress at Hugging Face HF: https://huggingface.co/merve GH: https://github.com/merveenoyan My book: https://www.oreilly.com/library/view/vision-language-models/9798341624030/ Articles: https://huggingface.co/merve/activity/articles https://merveenoyan.medium.com/

Experience

6 yrs 8 mos
Total Experience
2 yrs 3 mos
Average Tenure
4 yrs 8 mos
Current Experience

Hugging face

Machine Learning Engineer

Sep 2021Present · 4 yrs 8 mos · Paris, Île-de-France, France

  • Developed/contributed to/documented open-source libraries of Hugging Face (TGI, TRL, transformers, smolagents, huggingface_hub and more)
  • Created smol-vision (https://github.com/merveenoyan/smol-vision) and Tasks (hf.co/tasks)
  • Fine-tuning models for releases
  • DevRel: Work on adoption of the libraries and the Hub: Wrote notebooks/tutorials, built apps for use cases of new features, gave talks, help improve Hub to make it the best place for ML 💗
Neural NetworksComputer ScienceMachine Learning

Syd™ (iamyiam)

Machine Learning Engineer (Natural Language Processing)

Oct 2020Sep 2021 · 11 mos

  • Technical ownership of conversational agent: implemented and developed backend, trained and experimented with various natural language understanding models and increased the metrics of the chatbot by 20-30 percent by implementing transformers. - Automated research pipeline: I automated the information extraction of paper screening process of researchers in the company using language models specialized in GLUE tasks. Stack: python, rasa, AWS, huggingface, flask, sklearn, pandas, spaCy, NLTK, tensorflow, pytorch.
Neural NetworksComputer ScienceNatural Language ProcessingMachine Learning

Buck.ai

Machine Learning Engineer

Sep 2019Nov 2020 · 1 yr 2 mos · San Francisco, Kaliforniya, Birleşik Devletler

  • Projects:
  • Schedulerbot: A chatbot that automates scheduling, rescheduling and canceling appointments by end-users. Built with Rasa with TensorFlow backend.
  • Sales Prediction: An ML model that predicts the price that will be paid by the end-user, for customers. Used sklearn & co.
Neural NetworksComputer ScienceMachine Learning

Education

Yeditepe University

Yüksek Lisans (Master) — Veri Bilimi

Jan 2020Jan 2024

Yeditepe University

Bachelor's degree — Industrial & Systems Engineering

Jan 2014Jan 2019

İzmir Kız Lisesi

Lise — Almanca

Jan 2010Jan 2014

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