Konstantinos Tournas

Konstantinos Tournas

AI Engineer | Robotics Enthusiast

Building AI systems that reduce cost and save time through intelligent automation from code to real-world impact

Google Cloud Certified
Professional Machine Learning Engineer
Microsoft Certified
Azure AI Engineer Associate

About

Hi, I’m Konstantinos, an AI Engineer at Deloitte. I design and build AI systems with a focus on automation, efficiency, and real-world impact turning complex problems into production-ready solutions that save time and reduce cost.

I'm self-taught. In September 2024, I started from zero, with no prior technical background. Within six months of focused learning and hands-on building, I earned the role I had been working toward proof that consistent execution beats perfect starting conditions.

My work goes beyond generative AI applications. I have strong foundations in backend systems and machine learning, and I’m currently expanding into robotics and autonomous systems, bridging software intelligence with the physical world.

Experience

  1. 2024 — Present

    Build and deploy AI systems for large-scale enterprises within Deloitte, delivering production-ready solutions across multiple industries. Work closely with cross-functional teams including engineers, data scientists, product owners, and stakeholders to design, implement, and maintain reliable, scalable AI pipelines, while promoting best practices in system architecture, performance, and responsible AI.

    • Python
    • Fastapi
    • LangChain
    • LangGraph
    • Cloud

    2. Projects

    • Robotic Manipulator - On going

      Developing an ongoing robotic manipulator project to deepen my understanding of robotics through hands-on system building. I’m working with ROS 2, expanding my C++ skills for robotic applications, integrating Arduino for low-level hardware control, and using MoveIt for motion planning and manipulation. The system is modeled with URDF and SRDF, continuously simulated in Gazebo, and visualized in RViz. I also integrated voice-based control, enabling motion triggers through Amazon Alexa using the Amazon SDK, allowing high-level voice commands to translate into planned robotic actions.

      • Python, C++
      • ROS2
      • Arduino
      • Gazeboo - Rviz
      • URDF - SRDF
      Robotic Manipulator

    • VeriVista

      I developed VeriVista as a solo project, building the entire backend and AI integration for a Chrome extension that provides real-time fact-checking of selected text on any webpage. I implemented LLM-powered analysis to deliver an instant trust score (0–100) with evidence from multiple reliable sources, including detailed claim-level breakdowns. The system supports multi-language verification (18 languages) and follows a privacy-first approach, processing only the selected text, making it a fully self-contained tool that helps users quickly and reliably assess content credibility.

      • Python
      • LangGraph
      • Fastapi
      • Tavily
      VeriVista

    • AWS Bedrock Multi‑Agent System

      Built a AWS Bedrock Multi‑Agent System as a solo backend project leveraging Amazon Bedrock’s multi‑agent collaboration capabilities to create an intelligent recommendation system for accommodation and restaurants. The system uses a supervisor agent and specialized collaborator agents that dynamically route natural language user queries to AWS Lambda functions, which process structured data from Amazon S3 and return results in real time. By orchestrating multiple agents with distinct responsibilities, the project demonstrates how multi‑agent AI can decompose complex tasks and deliver precise, context‑aware responses. The architecture combines AWS Bedrock Agents, AWS Lambda, Amazon S3, and boto3 to enable scalable, serverless AI workflows that showcase practical multi‑agent orchestration in production‑oriented environments.

      • Python
      • AWS Bedrock
      • AWS Lambda
      • Amazon S3
      AWS Bedrock Multi-Agent System