AI Engineer | Conversational AI & Voice Systems | RAG & Agentic AI Workflows | VoIP Solutions | Cloud AI & Multilingual NLP | Speech Technologies
Passionate about building scalable AI assistants using LLMs, embeddings, and speech technologies. Experienced with OpenAI, Claude, Groq, Whisper, Hugging Face, Gemini, and more. Constantly learning and solving complex problems in AI-driven environments.
- Programming Languages: Python, JavaScript, Bash, SQL, HTML/CSS
- AI & ML Models:
- Large Language Models (LLMs): OpenAI (GPT-3, GPT-4), Claude, Gemini, Ollama, Groq, Command-R, LLama, and others.
- Embedding Models: Hugging Face, Sentence Transformers, BAAI, Nomic, and various other document and sentence embedding models.
- Speech Models: Whisper (STT), Deepgram, NVIDIA, ElevenLabs (TTS), and more.
- Retrieval-Augmented Generation (RAG): LangChain, LlamaIndex, FAISS, Pinecone
- AI Workflows: LangChain, LlamaIndex, RAG Integration, Agentic AI Workflows
- Cloud Platforms: AWS, Google Cloud, Microsoft Azure, DigitalOcean
- Databases: PostgreSQL, MongoDB, Redis, MySQL
- DevOps & Infrastructure: Docker, Kubernetes, CI/CD pipelines
- APIs & Libraries: Hugging Face Transformers, LLM APIs, TensorFlow, PyTorch, Spacy, NLTK, Gradio, Streamlit, and more.
- Voice & Audio Technologies: Voice Activity Detection (VAD), Deepgram API, Whisper (STT), ElevenLabs, NVIDIA TTS
- Frontend & Full Stack: ReactJS, NextJS, Node.js, Postman, TypeScript, HTML/CSS
- Web Frameworks: Flask, Django
- 📫 How to reach me: haitham-ramadan.me
- 💻 Feel free to check out my repositories and collaborate!
- Currently building AI-powered voice agents and multilingual conversational assistants using Arabic and English.
- RAG (Retrieval-Augmented Generation): Developing systems that improve the contextual understanding of AI assistants by fetching relevant external data in real time.
- Enhancing natural language understanding for better, context-aware interactions in healthcare, retail, and enterprise environments.
- Exploring Voice Interaction Systems for seamless Speech-to-Text (STT) and Text-to-Speech (TTS) integrations using models like Whisper, Deepgram, ElevenLabs, and NVIDIA.
- Advancing my knowledge in multi-modal AI systems, where I integrate both voice and text-based communication for robust conversational AI.
- Exploring new AI technologies, including Groq, Claude, Gemini, and Whisper, to improve performance and scalability of language models.
- Gaining deeper expertise in cloud AI deployment, including managing AI pipelines with Kubernetes, Docker, and CI/CD for efficient scaling.
- AI Assistant Projects in enterprise systems, and customer support.
- Voice Interaction Systems using STT and TTS technologies.
- RAG Integration: If you’re working on integrating external knowledge bases to improve context-aware AI, let’s collaborate!
- Exploring multilingual NLP and embedding models for more accurate AI assistants.
- Optimizing real-time voice processing for large-scale AI applications.
- Exploring best practices for cross-platform AI deployment (cloud + local environments).
- Building more efficient systems for multi-language embeddings and context-based AI generation.
- Always experimenting with the latest AI frameworks and tools, and I enjoy integrating new speech technologies.
- When I’m not coding, you can find me listening to music, and I share my most recent Spotify tracks here!
- 🔭 I’m currently building AI-powered voice agents, RAG systems, and multilingual conversational AI for various industries.
- 🌱 I’m learning more about multi-modal AI, advanced voice processing, and RAG.
- 👯 I’m looking to collaborate on AI assistant projects, voice systems, and multilingual AI.
- 🤔 I’m looking for help with real-time voice processing and multi-language integration in AI solutions.
- 💬 Ask me about interactive agents, AI assistants, or conversational AI.
- 📫 How to reach me: haitham-ramadan.me.
- 😄 Pronouns: He/Him.
- ⚡ Fun fact: Always experimenting with new AI technologies and enjoy music in between.