I'm Artur Grygorian, a versatile technology professional with over a decade of experience spanning data science, data engineering, analytics, and technical product management. My career includes impactful roles at industry leaders like The Home Depot and Wayfair, where I've contributed to cutting-edge data-driven solutions and product innovations.

With a passion for leveraging data and technology to drive business outcomes, I've cultivated a diverse skill set that allows me to bridge the gap between technical implementation and strategic decision-making. My recent focus has been on advanced technologies in Large Language Models (LLMs) and MLOps, further expanding my capabilities in the rapidly evolving tech landscape.

1. LLM-Powered Food Recipe Recommendation System

   • Developed a sophisticated RAG (Retrieval-Augmented Generation) application:
     • Explored LanceDB, FAISS for semantic, text, and hybrid search
     • User feedback collections (likes, dislikes, clickstream data)
     • Creating deployable application build in Gradio and fully containerized
   • Leveraged cutting-edge LLM technologies for personalized recipe suggestions

2. Award-Winning LLM Solution

   • A winning solution to LLM Zoomcamp Kaggle Competition - at solving math problems with LLMs
   • Implemented advanced techniques showcasing both technical and analytical skills:
     • Structured outputs using the Instructor library
     • Python code generation & execution
     • High-performance multithreading
     • Mastering Error Handling and Retries

3. Youtube video Analyzer

   • Created a tool for analyzing YouTube video transcripts using LLM
   • Features include topic extraction, Q&A capabilities, and timestamp linking
   • Utilizes YouTube Transcript API, Instructor library, and streaming structural output

4. MLOps-Driven AutoML Implementation

   • Engineered an AutoML and Auto Feature Engineering solution
   • Incorporated state-of-the-art MLOps practices (e.g. MLflow experimentation, containerization, deployment)

I'm always keen to connect with fellow tech professionals, innovators, and leaders across various domains including data science, engineering, analytics, and product management. Let's explore potential collaborations or exchange ideas on the latest in technology and its business applications.

• LinkedIn

Feel free to reach out for discussions on advanced tech applications, emerging AI technologies, data-driven product strategies, or potential joint ventures. I'm excited to engage with forward-thinking professionals in our rapidly evolving field.