Mazen J.

As a seasoned software engineer with over a 8+ years of professional experience, my expertise lies in thriving within startup ecosystems. My journey has encompassed roles such as a software engineer, DevOps expert, cloud architecture specialist, and CTO. Over the years, my focus has been on assisting startups in harnessing AI by developing and integrating AI-based solutions. At present, I am engaged in creating in-house AI solutions, aiming to ultimately establish an accessible platform for crafting AI-driven products. I firmly believe that the future of AI lies in a diverse range of specialized, finely-tuned LLMs, rather than relying solely on a single foundational model like GPT-4. Feel free to reach out if you're facing a complex AI challenge; let's collaborate to find a solution. Technical Expertise: - Python, JS/TS, Golang, Bash - Vector Databases: Pinecone, Weaviate, Qdrant - LLMs: GPT3.5/4, Llama 2, Falcon - Libraries: LangChain, LlamaIndex - Fine Tuning: Prompt Tuning/Soft Prompts/LoRA, Fine Tuning, RLHF - RAG: Chunking, retrievers, query routers, reranking, tools, indexing, observability and costs metrics - Prompting: Few Shot, Chain of Thought, Automatic Prompting, etc - AI Tasks: QnA, Conversational, Summarization, Text Gen, etc - Ingestion: PDF(OCR)/audio/video to text, SQL databases, spreadsheets, web pages - Evaluating: AI system end-to-end and component based evaluation - DevOps (Kubernetes, Docker, Terraform, Google Cloud, CI/CD, Monitoring) Competitive Edge: - Worked in startups for more then 8 years - good product building skills - Focus on product customers experience - Domain knowledge on cybersecurity and privacy - Worked as an engineer manager - good soft skills Key Soft Skills: - Effective Communication - Advanced Problem-Solving Abilities - High Level of Adaptability