Mo Abdo
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Mo Abdo Email & Phone Number

MLOps| LLMOps | LLMs | GenAI | Data Scientist I Machine Learning Engineer at Self Employed
Location: Paris, Île-de-France, France 4 work roles
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Role
MLOps| LLMOps | LLMs | GenAI | Data Scientist I Machine Learning Engineer
Location
Paris, Île-de-France, France
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Mo Abdo is listed as MLOps| LLMOps | LLMs | GenAI | Data Scientist I Machine Learning Engineer at Self Employed, a company with 209837 employees, based in Paris, Île-de-France, France. AeroLeads shows a matched LinkedIn profile for Mo Abdo.

Mo Abdo previously worked as Data Scientist (GenAI, LLMs, ML) at Self Employed and PhD Student | Machine Learning Engineer at Arts Et Métiers Paristech - École Nationale Supérieure D'Arts Et Métiers.

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Self Employed

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About Mo Abdo

Mo Abdo is a MLOps| LLMOps | LLMs | GenAI | Data Scientist I Machine Learning Engineer at Self Employed.

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Self Employed
Self Employed
MLOps| LLMOps | LLMs | GenAI | Data Scientist I Machine Learning Engineer
satellite beach, florida, united states
Employees
209837
AeroLeads page
4 roles

Mo Abdo work experience

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Data Scientist (Genai, Llms, Ml)

Current
  • I am developing END-to-END GenAI/LLM/ML products, including RAG, question answering, conversational AI (Chatbots), text summarization, named entity recognition (NER), text classification, sentimentanalysis, and machine.
  • 2nd Project: Created an End‑to‑End LLM web‑app for retail searching products via fine‑tuning GPT‑3.5 Turbo and coupling it with SQL database using Langchain. I used FastAPI and Jinja for web‑interface, and deployed the.
  • 3rd Project: Developed an End‑to‑End Generative AI web‑app based on google‑flan‑t5‑base LLM and prompt engineering to answer questions given document contexts. I utilized the following packages: Langchain, FAISS.
  • 4th Project: Developed an End‑to‑End LLM web‑app via LaMini‑Flan‑T5‑248M to perform text summarization of PDF contexts, using HuggingFace, Langchain, Docker, AWS EC2, Github action (CI/CD), and Flask.
  • 5th Project: Pretrained a sparse transformer variant for sequence modeling based on local attention. Results: A remarkable 78% reduction in the FLOPs computation time compared to the vanilla attention. The model gives.
Oct 2023 - Present

Phd Student | Machine Learning Engineer

Ville De Paris, Île-de-France, France

Roles: 1. Gathering, cleaning, and organizing datasets.2. Identifying and addressing data quality issues and inconsistencies.3. Developing and training predictive models using supervised and unsupervised machine learning algorithms.4. Applying statistical methods to derive meaningful insights and validate hypotheses.5. Monitoring model performance over.

Mar 2021 - Feb 2024

Data Scientist Research Engineer

Poitiers, Nouvelle-Aquitaine, France

Roles:1. Applying statistical methods to derive meaningful insights and validate hypotheses.2. Conducting hypothesis testing and interpreting results.3. Identifying relevant features and reducing dimensionality to improve model efficiency via principal component analysis (PCA) and dynamic mode decomposition (DMD).3. Developing and training predictive.

Jan 2020 - Mar 2021

Independent Researcher In Machine Learning

Indépendant

Roles:1. Developed a deep reinforcement learning (DRL) algorithm integrated with a computational fluid dynamics environment called FEnics, to explore active flow control strategies around a circular cylinder using unsteady-mode plasma actuators.2. Conducted independent research studies involving artificial neural networks (ANNs), convolutional.

Aug 2019 - Jan 2020
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What company does Mo Abdo work for?

Mo Abdo works for Self Employed.

What is Mo Abdo's role at Self Employed?

Mo Abdo is listed as MLOps| LLMOps | LLMs | GenAI | Data Scientist I Machine Learning Engineer at Self Employed.

Where is Mo Abdo based?

Mo Abdo is based in Paris, Île-de-France, France while working with Self Employed.

What companies has Mo Abdo worked for?

Mo Abdo has worked for Self Employed, Arts Et Métiers Paristech - École Nationale Supérieure D'Arts Et Métiers, Institut Pprime, and Indépendant.

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