Mohamed E.

Experienced Machine/Deep Learning engineer skilled in Computer Vision, NLP, and Reinforcement Learning. Expertise includes Generative Models (LLMs, GANs, Diffusion Models) and Graph Neural Networks.

I have Master in Generative AI and I am a certified NVIDIA Ambassador in Generative AI.

A Researcher and Lecturer, blending industry insights with academic excellence. Passionate about pushing ML boundaries and fostering the next generation of innovators.

• Generative Chat-Bot: Use generative LLM models besides the intent classification.

• Fine-tuning LLM: Fine-tune LLM on custom dataset using LoRA technique.

• Face Recognition: Detect faces then classify based on custom faces database .

• Document Understanding: Extract information from documents like invoices, and contracts.

• OCR: OCR documents in multi-lingual.

• Image Segmentation: Image segmentation service.

• Recommender System: Suggest documents based on document similarity.

• Textual RAG: Retrieval Augmented Generation system on customer documents.

• Multi-modal RAG: Retrieval Augmented Generation system on different types of media: images, audio, and text.

• Speech to Text - STT: Speech to text service using Kaldi and open source models.

• Text to Speech - TTS: Text to speech service.

• Speaker Diarization: Automatically identifying and segmenting an audio recording into distinct speech segments.