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Hi, I'm Bleona Mukaj, a Data Scientist specializing in ML, NLP, and computer vision. I focus on turning data into practical business value by building end-to-end AI solutions in Python, from model development to deployment, and I enjoy collaborating with teams to ship robust systems. I also love sharing knowledge—I've led AI training programs for junior data scientists and regularly contribute to upskilling on neural networks, transformers, and modern frameworks like TensorFlow, PyTorch, and Hugging Face.…Hi, I'm Bleona Mukaj, a Data Scientist specializing in ML, NLP, and computer vision. I focus on turning data into practical business value by building end-to-end AI solutions in Python, from model development to deployment, and I enjoy collaborating with teams to ship robust systems. I also love sharing knowledge—I've led AI training programs for junior data scientists and regularly contribute to upskilling on neural networks, transformers, and modern frameworks like TensorFlow, PyTorch, and Hugging Face.

Bleona Mukaj

Data Scientist, AI Developer, AI Engineer, +4

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Hi, I'm Bleona Mukaj, a Data Scientist specializing in ML, NLP, and computer vision. I focus on turning data into practical business value by building end-to-end AI solutions in Python, from model development to deployment, and I enjoy collaborating with teams to ship robust systems. I also love sharing knowledge—I've led AI training programs for junior data scientists and regularly contribute to upskilling on neural networks, transformers, and modern frameworks like TensorFlow, PyTorch, and Hugging Face.…Hi, I'm Bleona Mukaj, a Data Scientist specializing in ML, NLP, and computer vision. I focus on turning data into practical business value by building end-to-end AI solutions in Python, from model development to deployment, and I enjoy collaborating with teams to ship robust systems. I also love sharing knowledge—I've led AI training programs for junior data scientists and regularly contribute to upskilling on neural networks, transformers, and modern frameworks like TensorFlow, PyTorch, and Hugging Face.

Available to hire

Hi, I’m Bleona Mukaj, a Data Scientist specializing in ML, NLP, and computer vision. I focus on turning data into practical business value by building end-to-end AI solutions in Python, from model development to deployment, and I enjoy collaborating with teams to ship robust systems.

I also love sharing knowledge—I’ve led AI training programs for junior data scientists and regularly contribute to upskilling on neural networks, transformers, and modern frameworks like TensorFlow, PyTorch, and Hugging Face.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Italian

Fluent

English

Fluent

Albanian

Fluent

Work Experience

Data Scientist at TECNOLIFE – The Innovation Factory

October 1, 2024 - Present

Developed and maintained a backend system with LLM models for managing business profiles with an AI-based virtual assistant and fine-tuned LLMs for CV ingestion, information extraction, and intelligent candidate search. Delivered AI training to junior data scientists as part of a company-led academy, leading hands-on lessons on neural networks, transformers, and modern AI frameworks such as TensorFlow, PyTorch, Hugging Face, and LangChain. Technologies used across both development and training activities include Python, SQL, MySQL, Docker, FastAPI, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Transformers.

Artificial Intelligence Specialist at Stevanato Group

October 1, 2021 - August 30, 2024

Developer of AI solutions for multilabel classification and object detection, focusing on computer vision applications to detect defects in pharmaceutical vials and syringes. Implementation of data augmentation techniques to improve model robustness. Management of real-time deployment and monitoring of models on production lines.

Data Scientist Intern at Statwolf S.R.L

March 1, 2021 - June 30, 2021

Worked on time series data from a roller coaster prototype, developing unsupervised machine learning models for anomaly detection in Industry 4.0 applications. Improved model performance through feature engineering and dimensionality reduction. Applied interpretability methods to explain model predictions to clients, improving machine maintenance and reducing downtime.