Panos Michelakis

Forward Deployed Engineer @Wonderful | AI Research

Athens Metropolitan Area

About

Building and researching Agentic AI.

Experience

  • Forward Deployed Engineer at Wonderful
    Jan 2026 - Present · 6 mos

    ➢ Designed and deployed production-grade AI agent systems, including voice agents, workflow automation platforms, and LLM-powered solutions integrating with CRM, ERP, telephony, and external APIs. ➢ Led end-to-end enterprise engagements as a Forward Deployed Engineer, translating business requirements into scalable AI architectures while driving technical strategy with stakeholders and engineering teams. ➢ Built and operated cloud-native AI solutions on AWS, delivering high-impact automation initiatives and supporting enterprise deployments tied to multi-million-dollar business opportunities

  • Founding AI Research Engineer at Independent Researcher
    Oct 2024 - Present · 1 yr 9 mos

    ➢ NeurIPS paper: https://arxiv.org/abs/2509.20998 ➢ ICML paper: https://openreview.net/forum?id=m49CywnvoV ➢ MLSys paper: https://yiannisha.github.io/qpu-xla/

  • Palantir Foundry Data Engineer at D ONE – Data Driven Value Creation
    Jan 2025 - Jan 2026 · 1 yr 1 mo

    ➢ Designed and implemented the enterprise Data Quality Framework for a leading Swiss re-insurer, building robust PySpark pipelines, a scalable Ontology architecture, a custom PySpark library for advanced data quality checks, and automated monitoring via Automations and TypeScript functions to ensure organization-wide compliance. ➢ Contributed to the internal scheduling framework by implementing advaced UI features using Vertex Graphs and Workshop ➢ Foundry Applications: Code Repositories, Ontology Manager, Data Lineage, Workshop, Contour, Vertex, Marketplace, Code Workbooks, Pipeline Builder, Automate

  • LLM Quality Analyst at DataAnnotation
    Mar 2024 - Sep 2025 · 1 yr 7 mos

    ➢ Evaluated and optimized large language models across code generation, reasoning, function calling, structured outputs, summarization, and instruction-following tasks. ➢ Performed human-feedback annotation and quality analysis to improve model accuracy, safety, consistency, and alignment within RLHF workflows. ➢ Developed evaluation datasets, benchmark scenarios, and edge-case tests to identify model failure modes and support the development of next-generation AI systems.

  • Founding Machine Learning Engineer at Vino AI
    Jan 2023 - Feb 2025 · 2 yrs 2 mos

    ➢ Co-founded an AI-driven hospitality startup delivering personalized wine and cocktail recommendations through QR-based customer experiences. ➢ Designed and deployed the end-to-end platform, including machine learning recommendation systems, backend services, cloud infrastructure, and real-time APIs. ➢ Partnered with hospitality venues to tailor recommendation strategies and successfully launched the product across multiple bars, validating early customer adoption.