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Rohat VuralRV
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Rohat Vural

@rohatvural

Software engineer at Just Appraised who developed Python document extractors and classifiers, now delivering industrial automation solutions.

Turkey
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What I'm looking for

I’m seeking a remote software engineering role.

At Just Appraised, I developed Python and regex-based data extractors and document classifiers for customer-facing workflows. I trained random forest and gradient boosting models, and added specialized classifiers and quality checks to meet customer accuracy requirements.

I integrated large language models into extraction workflows and used Tesseract OCR and Amazon Textract to process document text. I also developed release tests and automated repetitive tasks with Python scripts and cron jobs.

As a Machine Learning Engineering Intern at Just Appraised, I expanded test coverage, built a fuzz-testing module, and developed a regex-based extractor for document stamp amounts.

Since 2024, I’ve run an independent engineering business delivering industrial control and building automation solutions. My work includes Siemens PLC and ABB Freelance DCS systems for energy-sector projects, as well as DDC-based building automation using Schneider EcoStruxure Building Operation.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Boğaziçi University logoBU

Boğaziçi University

Master's Degree, Software Engineering

Master's degree in Software Engineering with focus on software development, data structures and algorithms, requirements engineering, software quality and reliability, and deep learning.

Kocaeli University logoKU

Kocaeli University

Bachelor's Degree, Mechatronics Engineering

Bachelor's degree in Mechatronics Engineering with focus on programming, computer vision, microprocessors, robotics and real-time control.

GD

Google Developers

Deep Learning Bootcamp, Deep Learning

Deep Learning Bootcamp covering neural networks, model tuning and regularization, convolutional and recurrent neural networks, and structuring machine learning projects.

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