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Bara Luch

@baraluch

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Junior machine learning engineer focused on applied AI, computer vision, and NLP.

Israel

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What I'm looking for

I am seeking an applied ML/AI role where I can build and deploy production-style computer vision or NLP systems, collaborate cross-functionally, and grow technical expertise in a metrics-driven team.

I am a junior machine learning engineer and data scientist with hands-on experience building production-style AI systems across computer vision, NLP, multimodal learning, and analytics. I completed multiple applied projects during a research exchange at Sungkyunkwan University, delivering metrics-driven, reproducible results in international teams.

My work includes developing end-to-end ML pipelines for data processing, model training, evaluation, and deployment; building a real-time drowsiness detection system using OpenCV and MediaPipe; and designing a dual-stream Vision Transformer for RGB–thermal semantic segmentation. I have strong practical experience with PyTorch, TensorFlow, Scikit-learn, and deployment tools such as Flask and Docker.

I bring solid data analysis and programming skills in Python, R, SQL, and C++, a track record of evaluating systems with user studies and quantitative metrics, and availability for immediate full-time work upon graduation in April 2026.

Experience

Work history, roles, and key accomplishments

Junior Machine Learning Engineer

Sungkyunkwan University

Mar 2025 - Jan 2026 (10 months)

Built and evaluated 4+ end-to-end AI systems (computer vision, NLP, multimodal) during a research exchange, deploying real-time services and improving model metrics through reproducible ML pipelines and user evaluation.

Python PyTorch TensorFlow OpenCV Mediapipe Flask Model Evaluation Data Processing

Education

Degrees, certifications, and relevant coursework

Memorial University of Newfoundland

Bachelor of Science, Data Science and Business (Finance)

Activities and societies: Exchange: Sungkyunkwan University; 2× Ideathons; Hackathon participant; Executive — Memorial University Volleyball Club; MUN Let’s Learn Science

B.Sc. in Data Science and Business (Finance) with final semester completed online and expected graduation in April 2026; participated in an exchange at Sungkyunkwan University.