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AI Engineer with less than a year in AI/NLP pipelines & data-driven solutions.
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Assessing your cultural and operational fit
Computer Engineering student with hands-on experience in Artificial Intelligence, Natural Language Processing, and document analysis. Skilled in developing Python-based AI/NLP pipelines for text extraction, document classification, text similarity, NER, image processing, and automated data extraction using TensorFlow, SBERT, scikit-learn, SQL, and SQLite. Interested in data-driven AI solutions.
Balıkesir University
B.Sc. · Computer Engineering
August 1, 2022 – June 30, 2026
BT10 Bilgi Teknolojileri
Software Development Engineer
July 1, 2025 – June 17, 2026
Balıkesir, Balıkesir Province, Turkey
DocuVision AI – Industry-Collaborated Capstone Project
September 1, 2025 – June 1, 2026
Developed core AI/NLP modules in a three-person document analysis platform, including text extraction, text similarity, NER, document classification, chessboard classification, and chess notation detection. Python, NLP, OCR, TF-IDF, Linear SVM, SBERT, scikit-learn, SQLite
LatentLink - Semantic Text Search System
August 1, 2025 – June 1, 2026
Developed a semantic text search system using SBERT embeddings, cosine similarity, and SQLite-based vector storage. Python, SBERT, TensorFlow, scikit-learn, SQLite
DataPipe - Data Ingestion & Pipeline Automation
August 1, 2025 – June 1, 2026
Built a Python data pipeline to ingest Kaggle datasets (CSV/JSON/Parquet) into SQLite, including Base64-based BER binary handling. Python, Pandas, SQLite, Kaggle API, PyArrow
Java Data Similarity & Generation (Multi-Module Project Suite)
July 1, 2025 – June 1, 2026
Developed a modular Java-based system for synthetic data generation, registry storage, and text similarity analysis with database integration and visual analytics. Java (JDK 17+), SQLite (JDBC), Levenshtein & Jaro, Graphviz
Image Similarity Pipeline
July 1, 2025 – June 1, 2026
Developed an end-to-end image similarity system using deep visual embeddings, including similarity scoring, ranking, and relational database integration. Python, ResNet50 (pretrained), PyTorch, scikit-learn, SQLite
Complete Java Developer Course (42h)
Unknown
January 1, 2025 – Present
Data Structures and Algorithms in Java
Unknown
January 1, 2024 – Present
Game Jam Award - 2nd Place (Memory Fixer)
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, covering NLP, image processing, and data pipelines, indicates a broad interest in AI/ML applications. The academic background and internship align with a technical career path. However, the experience level is entry-level (0 years), which is not a direct fit for a senior AI Engineer role. The projects are impressive for an entry-level candidate but lack the depth and scale expected for a senior position. The cultural fit is moderate, as the candidate shows initiative but needs to develop more experience in collaborative, large-scale enterprise environments.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and practical application through numerous personal and academic projects. The psychometric test score (283/500) suggests average logical reasoning and work attitude, which could be further explored during interviews. The English test score (59/100) indicates a need for improvement in professional communication clarity, grammar, and usage, which is critical for a senior role.