Hamit Kavas
Barcelona,Spain
Summary
Applied Scientist specializing in multilingual NLP and deep learning with a strong record of bridging academic research and industry demands. Skilled in designing and fine-tuning large language models, implementing automatised prompt and LLM optimisation methods, and leveraging taxonomies for job matching and skill extraction, resulting in higher-quality job matching solutions. Authored four publications on multilingual NLP methods and successfully translated research findings into practical solutions, demonstrating improvements in real-world applications.
Overview
8
8
years of professional experience
Work History
Data Scientist (PhD Candidate)
Infojobs, Adevinta Spain
12.2021 - 02.2025
- Developed and fine-tuned multilingual pre-trained language models (PLMs) using attention mechanisms, comparative neural networks, and weighted loss functions for multi-class, cross-lingual classification.
- Utilized the ESCO taxonomy (3,000 occupations) to create robust job classification solutions; extended multilingual skill extraction methods to cover 14,000 skills and published findings in COLING.
- Adopted a human-in-the-loop approach to refine model predictions and demonstrated the results at IJCAI.
- Published insights on the multilingual performance of these models on Italian and Spanish data at CLiC-it, addressing cross-lingual generalisability and model challenges.
- Employed PyTorch, Hugging Face Datasets, and the DSPy library for advanced chain-of-thought (CoT) reasoning, retrieval-augmented generation (RAG), and structured outputs.
Software Developer - Natural Language Processing
Calibri
02.2021 - 09.2021
- Implemented and optimized speech-to-text pipelines using Mozilla DeepSpeech, Facebook Flashlight, and Google Cloud Speech Recognition.
- Enhanced voice analysis with advanced speech recognition tasks for improved natural language understanding and topic extraction.
- Developed an emotion detection model in TensorFlow, enabling nuanced sentiment analysis.
Independent Researcher
TALN NLP Research Group (UPF)
09.2020 - 02.2021
- Investigated political language use during the 2020 U.S. Elections, developing deep learning solutions for topic detection and discourse analysis.
- Automated large-scale data processing pipelines using Python and Apache NiFi.
- Managed unstructured data storage and retrieval in MongoDB to support NLP experiments.
Project Engineer
Rehau
02.2017 - 09.2019
- Integrated systems following a company merger, aligning multiple databases under a unified product article and definition framework.
- Coordinated with executives and project managers to ensure efficient resource allocation and project milestones.
- Oversaw project changes within SAP, maintaining data consistency and minimizing workflow disruptions.
Education
Ph.D. - Computer Science
Pompeu Fabra University
Master of Science - Intelligent Interactive Systems
Pompeu Fabra University
09-2020
Bachelor of Engineering - Industrial Engineering
Maltepe University
07-2016
Skills
- ML & NLP Frameworks: PyTorch, Hugging Face Datasets, Parallel computing, DSPy for prompt & model optimization
- Cloud & Deployment: AWS (EC2, S3, Bedrock), Docker
- Data Processing & Databases: Python, Apache NiFi, MongoDB, ChromaDB, FAISS
- Version Control & Experiment Tracking: GitHub, Weights & Biases
- Soft Skills: Technical Communication, Cross-Functional Collaboration, Project Management, Presenting in Academic Conferences
Personal Information
Passionate violinist with a focus on Balkan and Anatolian folk music, performing in local venues in Barcelona. Playing live and connecting with people through music is something I truly love.
Timeline
Data Scientist (PhD Candidate)
Infojobs, Adevinta Spain
12.2021 - 02.2025
Software Developer - Natural Language Processing
Calibri
02.2021 - 09.2021
Independent Researcher
TALN NLP Research Group (UPF)
09.2020 - 02.2021
Project Engineer
Rehau
02.2017 - 09.2019
Bachelor of Engineering - Industrial Engineering
Maltepe University
Ph.D. - Computer Science
Pompeu Fabra University
Master of Science - Intelligent Interactive Systems
Pompeu Fabra University
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