Christos Melidis, PhD
Christos Melidis, PhD

AI & Machine Learning Consultant

    I help companies build and ship AI productsβ€”from initial research through production deployment. My work bridges research and production, guiding projects from idea to deployment. This involves everything from initial concept development and proof-of-concept validation to hands-on implementation and cross-functional team collaboration. Driven by a passion for innovation and a commitment to excellence, I deliver AI solutions that create real business impact.

    Download CV
    Interests
    • Agentic AI & Multi-Agent Systems
    • LLM Applications & MCP Servers
    • RAG Systems & Knowledge Management
    • Conversational AI & Chatbots
    • Voice Biometrics & Speech Recognition
    • B2B Intelligence & Data Products
    • AI Strategy & Technical Leadership
    Education
    • PhD in Computer Science, Artificial Intelligence and Robotics

      University of Plymouth

    • BSc in Informatics

      Aristotle University of Thessaloniki

    πŸ’Ό Work Experience
    10+ years building AI systems deployed at scaleβ€”from academic research to industry innovation.
    🀝 Consulting

    Machine Learning Consultant

    Linked Business | Apr 2020 - Apr 2022 | πŸ“ Athens [Remote]

    FinTech company that aggregates official business data from government registries to deliver B2B intelligence, sales leads, and KYC services. Served as a trusted advisor on AI, ML, and text-mining strategies, translating academic research and emerging technologies into production-ready solutions.

    • πŸ” Designed and prototyped algorithms for entity recognition, lead scoring, and automated data enrichment
    • πŸ‘₯ Created and led collaborations of cross-functional teams to embed models into production pipelines, ensuring accuracy and scalability
    • πŸš€ Led rapid proof-of-concept initiatives to validate technical feasibility and business value, shaping the company’s data-driven roadmap

    Technologies: Python β€’ scikit-learn β€’ spaCy β€’ FastAPI β€’ MongoDB β€’ SQL β€’ REST APIs

    πŸ’Ό Industry Experience

    Staff Machine Learning Scientist - R&D

    Ada Support LTD | Feb 2024 - Present | πŸ“ Toronto [Remote]

    Leading Generative AI efforts through Applied Research. Work resulted in 2 US patents related to Conversational AI technologies. Worked end-to-end on conception, design, and implementation of ML-based product improvements.

    • πŸ€– Architected a modular, LLM-based AI Agent Platform optimizing model allocation for cost and performance
    • πŸ“š Drove context management pipeline redesign, improving top-5 retrieval accuracy from 80%β†’90%+ and increasing “Resolved Inquiries” by 3%
    • πŸ“‹ Led ML efforts for the Playbooks Framework, achieving <1% adherence error and enhancing resolution rates
    • πŸ§ͺ Spearheading research on testing methodologies, performance evaluation, and AI explainability

    Technologies: LLMs β€’ NLP β€’ Generative AI β€’ Python β€’ PyTorch

    Senior Machine Learning Scientist - R&D

    Ada Support LTD | Aug 2021 - Feb 2024 | πŸ“ Toronto [Remote]

    Leading Generative AI efforts through Applied Research. Worked end-to-end on conception, design, and implementation.

    • πŸ”„ Designed and implemented Generative Reply and Generative Action systems integrating retrieval, moderation, and query rewriting
    • πŸš€ Developed Autolaunch, a declarative chatbot creation framework, and ATS (Automatic Training Suggestions) β€” both patented
    • πŸ“œ Co-inventor on 2 U.S. patents in Conversational AI and automated training systems
    • βš™οΈ Drove Ada’s transition to hybrid and generative chatbot solutions leveraging fine-tuned LLMs

    Technologies: LLMs β€’ NLP β€’ Generative AI β€’ Python β€’ PyTorch

    Senior Machine Learning Specialist - R&D

    Omilia LTD | Feb 2020 - Aug 2021 | πŸ“ Athens [Remote]

    Designed and implemented machine learning models for Voice Biometrics, Automated Speech Recognition, and Natural Language Processing. Also involved in serving and maintaining the models.

    • 🎀 Designed and deployed neural models for Voice Biometrics, Speech Recognition, and Emotion Recognition
    • 🧠 Led applied research on Anti-Spoofing, Diarization, and Transformer-based architectures

    Technologies: Python β€’ C++ β€’ PyTorch β€’ TensorFlow β€’ Deep Neural Networks β€’ Probabilistic Neural Models

    Data Scientist

    Curation Zone LTD | Apr 2019 - Feb 2020 | πŸ“ London [Remote]

    Working on AI technologies to identify the World’s best filmmakers.

    • 🎬 Built deep learning models to identify top global filmmakers using BERT, ELMo, and LSTMs
    • πŸ“Š Deployed ML pipelines for scoring, recommendation, and data management

    Technologies: Python β€’ BERT β€’ ELMo β€’ LSTMs β€’ TensorFlow β€’ RESTful API β€’ MongoDB

    Lead AI Developer

    Stellanovus LTD | Oct 2018 - Apr 2019 | πŸ“ Republic of Ireland [Remote]

    Working on AINU.ai, a digital marketing platform powered by NLP and deep learning.

    • πŸš€ Led AI development for the platform
    • 🧠 Focused on building and scaling neural architectures for text understanding and automation

    Technologies: Python β€’ LSTMs β€’ TensorFlow β€’ RESTful API

    AI & Machine Learning Scientist

    i-DAT | Sep 2017 - Sep 2018 | πŸ“ UK [Remote]

    Working on a chatbot engine with text comprehension.

    • πŸ’¬ Developed a chatbot engine for text comprehension and dialogue management
    • 🧠 Implemented LSTM-based NLU/NLG modules using Keras, Rasa, and DialogFlow

    Technologies: Python β€’ LSTMs β€’ Keras β€’ DialogFlow β€’ Rasa

    πŸŽ“ Academic & Research

    Research Scientist

    University of Naples, Federico II | Jun 2017 - Sep 2017 | πŸ“ Italy

    Researcher Position under the supervision of Prof. Davide Marocco. Working on a Generative Adversarial Architecture based on Echo State Networks, with applications to music generation.

    Technologies: Python β€’ LSTMs β€’ Echo State Networks β€’ Theano

    Research Assistant & Laboratory Assistant

    Plymouth University | 2015 - 2017 | πŸ“ UK

    2 Research Projects: Research and Development of Neural Architectures for:

    • πŸ“± Sentiment Analysis in Tweets and Natural Language Processing
    • πŸ₯ Explanation of Functional Disorders

    3 Laboratories: Teaching:

    • πŸŽ“ MSc level: Robotics and Control
    • πŸ‘¨β€πŸ’» BSc level: Cross-platform application development in C++
    • ⚑ BSc level: Parallel and Distributed Programming

    Technologies: CUDA β€’ C/C++ β€’ Python β€’ TensorFlow β€’ RNNs β€’ Industrial Robotics

    πŸ“š Publications & Patents

    2 US Patents in Conversational AI | 7+ Publications in IEEE, Springer, Applied Sciences


    US Patents

    • Systems and methods for generating a chatbot β€” US11676044B1 (2023)
    • Systems and methods for generating automatic training suggestions β€” US20230297887A1 (2023)

    Selected Publications

    • Effective Behavioural Dynamic Coupling through Echo State Networks β€” Applied Sciences (2019)
    • A test of the adaptive network explanation of functional disorders β€” Biosystems (2017)
    • Intuitive control of mobile robots β€” Cognitive Processing, Springer (2017)
    • KURE: Kinematic universal remote interface β€” IEEE SMC (2016)
    • A Human Centric Approach to Robotic Control β€” IEEE SMC (2015)
    View All Publications β†’
    πŸŽ“ Education

    PhD in Computer Science, AI & Robotics

    University of Plymouth Β· 2014–2017

    Thesis: “Adaptive Neural Architectures For Intuitive Robot Control”
    Part of the CogNovo Doctoral Programme
    View Thesis β†’


    BSc in Informatics

    Aristotle University of Thessaloniki Β· 2008–2013

    Specialty in Information Systems, Expert Systems, and Database Management
    Thesis: “Reinforcement Learning in Robotics”

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