A passionate developer from Pakistan, currently pursuing my Master’s in Italy. I specialize in Generative AI, LLM engineering, and full-stack AI application development.
- Building LLM-powered automation systems including multi-agent workflows, tool-calling agents, evaluator models, and autonomous reasoning pipelines.
- Developing advanced RAG architectures such as self-correcting retrieval systems, context validation loops, and vector-database–driven knowledge engines.
- Experimenting with fine-tuning and optimizing open-weight LLMs (Llama, TinyLlama, Mistral) using LoRA, custom datasets, and Groq-accelerated inference.
- Creating full-stack GenAI applications using FastAPI, Streamlit, LangChain, embeddings, vector DBs, and scalable cloud deployments.
I’m continuously exploring AI technologies, including:
- PyTorch & TensorFlow
- LangChain, LlamaIndex
- FastAPI & Streamlit
- HuggingFace ecosystem
- Groq API, OpenAI API
- Llama 3, TinyLlama, Mistral models
- Vector DBs: Pinecone, FAISS, Chroma
- Embeddings, RAG architectures, multi-agent systems
- Model evaluation frameworks
- End-to-end GenAI product development
- LLM automation systems
- RAG pipelines & enterprise search tools
- Multi-agent frameworks
- AI-powered product development
- Fine-tuning + optimizing LLMs
• AI/ML • LLMs • RAG Systems • LangChain • Vector Databases • Prompt Engineering • FastAPI • Streamlit • Python
• Groq API • OpenAI API • Llama models • Multi-Agent Systems • LLM Evaluation • GenAI Tooling
🔗 GitHub: https://github.com/syed-waleed-ahmed
📄 Resume available upon request
Email: syedwaleedahmed9@gmail.com
I talk to AI models more than I talk to humans 🤖😂
