
Shayan Ali
Full Stack AI Engineer
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Portfólio
Experiência profissional
Full Stack AI Engineer
AirBridge dev • Período integral
Oct 2025 - Present • 7 mos
● Contributed to Shakir Engine a production AI system that intelligently matches brands with the right influencers using advanced AI agents and LangChain ● Designed and developed agentic workflows including sequential and parallel pipelines using LangGraph CrewAI and Google ADK for real world business automation ● Built a blog generator agent that autonomously researches writes and publishes high quality content using multi agent collaboration and LLM capabilities ● Developed a ticker classifier agent for accurate financial data classification and a conversational chatbot with full agentic reasoning capabilities ● Delivered scalable production ready AI solutions using LangGraph LangChain CrewAI and Google ADK with clean architecture and real business impact
Generative AI Intern
CodeAlpha • Meio período
Jul 2025 - Oct 2025 • 3 mos
● Built a complete end-to-end RAG pipeline with multi-document support using Hugging Face models and LangChain ● Developed an interactive Streamlit interface for document Q&A enabling seamless user interaction with AI powered responses ● Deployed production-ready RAG application using Docker ensuring scalable and consistent environment across platforms ● Integrated closed source and open source LLMs via Hugging Face for optimized and accurate document retrieval and generation ● Delivered multiple Generative AI projects with clean code modular architecture and real world business applications
Machine Learning Engineer Inter
Arch Technologies • Meio período
Mar 2025 - Jun 2025 • 3 mos
● Built and managed end-to-end ML pipelines using DVC, GitHub, and AWS S3 with full experiment tracking and reproducibility ● Developed and deployed prediction and classification ML models with optimized performance and clean modular code structure ● Implemented experiment tracking and parameter tuning using DVCLive and params.yaml to improve model accuracy and efficiency ● Automated ML workflows with CI/CD integration ensuring seamless version control and scalable cloud storage on AWS S3 ● Delivered 3 production-ready ML projects with thorough documentation, modular architecture, and real world business applications