Pouya Boroujerdian

WORK HISTORY

EDUCATION

ABOUT POUYA BOROUJERDIAN

As an AI Engineer, I architect and build sustainable, server-side AI solutions. My focus is on creating managed, resource-optimized services that scale intelligently with demand, delivering robust AI-as-a-Service platforms. My core specialty is designing sophisticated LLM orchestration and infrastructure. I build the complex systems that unlock the full potential of large language models, translating their raw capabilities into practical, high-impact solutions for real-world business challenges.This passion for Generative AI is built on a deep foundation in classical software engineering. Before the current AI wave, I designed robust algorithms to solve complex industrial automation challenges. As the field evolved, I began integrating machine learning into my work, a journey that culminated in co-architecting and building a comprehensive, cloud-based ERP system from the ground up with a lean, three-person team.My recent work is heavily focused on applying this engineering rigor to Generative AI, developing multi-modal solutions that orchestrate cutting-edge LLMs. This includes implementing Multi-Agent Systems (MAS) for sophisticated data filtering and building frameworks for robust, data-driven reasoning at scale. To build these stateful applications, my primary toolkit includes LangChain, LangGraph, and Langfuse for observability and traceability. To accelerate development and ensure high-quality, concurrent systems, I also leverage an AI-augmented workflow, integrating advanced AI tools directly into my development process to rapidly prototype, test, and deploy complex solutions.I also have experience in computational solutions and traditional ML. A key project involved engineering a multi-level QSS-physics engine in C++, which parses complex vehicle and track JSON data, utilizes GGV diagrams to compute the fastest possible real-time lap times, and is complete with an interactive analytical frontend.