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Konstantinos Giantsios

Machine Learning Engineer

NLP • Recommendations • Search • Agentic AI

Thessaloniki, Greece

About

Machine Learning Engineer with 5+ years of expertise specializing in NLP, Recommendation Solutions, Search, and Agentic AI. Proven track record in designing, deploying, and scaling production-grade machine learning models, complex AI architectures, and real-time user profiling platforms.

Experience

Kaizen Gaming

Thessaloniki, GR · 05/2025 – Present

Machine Learning Engineer

Python · Apache Spark/PySpark · Hugging Face · Neo4j · Docker · FastAPI · Microsoft Azure · Redis · Databricks · LangChain · LangGraph · LangSmith
  • Engineered data pipelines with Spark and Databricks on Azure, powering an agentic AI chatbot for customer experience analysis.
  • Co-designed a multi-agent sports betting Copilot with Python, LangChain, and LangGraph for complex reasoning and query resolution.
  • Deployed agentic AI solutions as scalable RESTful APIs with FastAPI, Docker, and Redis for low-latency production serving.
  • Built comprehensive LLM evaluation frameworks using LangSmith and RAGAS for continuous monitoring and reliability.
💼

Independent Consultant

Thessaloniki, GR · 04/2023 – 09/2023

Machine Learning / Data Engineer

Python · PyTorch · Apache Spark · Hugging Face · OpenAI · Elasticsearch · Docker · FastAPI · OpenCV · Pinecone
  • Built a RAG architecture with Elasticsearch for hybrid search of influencer profiles for targeted brand campaigns.
  • Created an automated prompt engineering pipeline using OpenAI APIs and Hugging Face for domain-specific content generation.
  • Designed an end-to-end computer vision system for professional headshot generation with PyTorch and OpenCV.

Atypon Systems (Wiley)

Thessaloniki, GR · 06/2020 – 05/2025

Machine Learning Engineer

Python · Java · PyTorch · TensorFlow 2.0 · Apache Spark · Apache Beam · Hugging Face · PostgreSQL · MongoDB · MySQL · Elasticsearch · MLflow · ONNX · Docker · Flask · FastAPI · GCP · NVIDIA Triton · Redis · PubSub · Dataflow · LangChain · LangGraph · LlamaIndex
  • Architected hybrid retrieval (Elasticsearch + LLMs via LangChain), fine-tuning bi-encoders (MiniLM) — boosting article CTR by 100% and search CTR by 20%.
  • Developed automated tagging with Transformers — 30% increase in SSR, 90% reduction in manual tagging time.
  • Orchestrated model serving with NVIDIA Triton, ONNX quantization, and optimized document processing for scalable inference.
  • Built real-time user profiling from streaming events — 300% increase in registrations, 200% increase in authenticated sessions.
  • Created embedding retrieval evaluation pipelines (SciRepEval, BEIR) and LLM faithfulness measurement with RAGAS.

Education

M.Sc. Data and Web Science

Aristotle University of Thessaloniki

09/2020 – 06/2022 · GPA: 9.5/10.0

Thesis: Interpretable Multi-Label Learning in Biomedical Texts — Grade: 9.5/10.0

B.Sc. Applied Informatics

University of Macedonia

09/2016 – 09/2020 · GPA: 8.4/10.0 (top 9%)

Thesis: Detecting Toxic Comments and Minimising Unintentional Prejudice Using Neural Networks — Grade: 10.0/10.0

Projects

Skills

Languages

PythonJavaScala

ML & AI

PyTorchTensorFlow 2.0Hugging Facescikit-learnspaCyLLMsTransformersPrompt EngineeringAgentic AI

Agentic & LLM Frameworks

LangChainLangGraphLlamaIndexLangSmithLangfuseRAGAS

Data & Streaming

Apache SparkApache BeamPubSubDataflowDatabricks

Databases & Search

PostgreSQLMongoDBMySQLElasticsearchNeo4jRedisPinecone

MLOps & Infra

DockerFastAPIFlaskMLflowONNXNVIDIA TritonOpenCVApache JMeterCI/CD

Cloud

GCPMicrosoft Azure

Achievements & Certifications

🏆 Google Hash Code: 2nd place among 12 UoM teams, top 20% overall in Greece.
🎯 Kaggle Competition: Top 6% worldwide in Jigsaw Unintended Bias in Toxicity Classification.
🎖 Agentic AI MOOC (Legendary Tier) — UC Berkeley, Center for Responsible Decentralized Intelligence, Fall 2025.
📚 Machine Learning in Production — DeepLearning.AI via Coursera, May 2023.
🎓 Deep Learning Specialization (5 courses) — DeepLearning.AI via Coursera, Oct 2020.
🏫 Machine Learning — Stanford University via Coursera, Nov 2019.

Languages

Greek: Native · English: C2 / Proficient

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