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OthmanMohammad/README.md

About Me

I'm a Deep Learning Engineer specializing in Large Language Models (LLMs), Natural Language Processing, and Generative AI. With experience in both research and implementation, I focus on developing and optimizing AI solutions.

Expertise & Interests

  • Large Language Models: Working on LLM optimization, data parallel training, and deployment strategies
  • Deep Learning: Developing neural architectures and ML systems
  • Natural Language Processing: Experience with transformer-based models and NLP techniques
  • Machine Learning Engineering: Building scalable ML pipelines and infrastructures
  • Software Engineering: Creating robust AI-powered applications

Education & Background

  • MSc in Artificial Intelligence from the University of Aberdeen
  • Former NLP Researcher at the University of Aberdeen
  • Currently working as a Deep Learning Engineer, focusing on LLM optimization and scalability

What I'm Working On

  • Optimizing LLM training and inference pipelines
  • Exploring data parallelism techniques for distributed training
  • Developing fine-tuning strategies for domain-specific applications
  • Contributing to open-source AI projects

Open to

  • Technical collaborations on LLM and NLP projects
  • Research partnerships in deep learning and generative AI
  • Consulting opportunities in AI implementation
  • New positions in deep learning and AI research

Reach me @


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  1. Voice-TimeLogger-Agent Voice-TimeLogger-Agent Public

    AI-powered automation system for consultants to track meeting hours effortlessly. Record a voice message after each meeting, and let the system automatically extract client information, timestamps,…

    Python

  2. ML-AutoTrainer-Engine ML-AutoTrainer-Engine Public

    ML AutoTrainer Engine, developed using Streamlit, is an advanced app designed to automate the machine learning workflow. It provides a user-friendly platform for data processing, model training, an…

    Python 2

  3. Wikipedia-RAG-Chatbot Wikipedia-RAG-Chatbot Public

    A Streamlit-based application that leverages Retrieval Augmented Generation (RAG) to provide accurate answers from Wikipedia content.

    Python

  4. 20Newsgroups-QuestionAnswering-Summarization-BERT 20Newsgroups-QuestionAnswering-Summarization-BERT Public

    This repository provides a Flask web application that harnesses the capabilities of BERT, BART, and RoBERTa models for NLP tasks on the 20 Newsgroups dataset. The application classifies articles, g…

    HTML 2

  5. Longformer-Learning-Next-Generation-Sentiment-Analysis Longformer-Learning-Next-Generation-Sentiment-Analysis Public

    This project applies the Longformer model to sentiment analysis using the IMDB movie review dataset. The Longformer model, introduced in "Longformer: The Long-Document Transformer," tackles long do…

    Python 4

  6. ChurnPrediction-E2E-ML-Pipeline ChurnPrediction-E2E-ML-Pipeline Public

    This project is an end-to-end machine learning pipeline with a focus on efficient model deployment using Flask API, Docker, and Amazon EC2. The modular architecture ensures seamless integration and…

    Python 4