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Nazanin Mohammadzadeh

@nazaninmohammadzadeh

AI Engineer at Qkare Bilgi Teknolojileri who developed LLM-powered task management, airline-message parsing, and candidate-search systems.

Turkey

Message

At Qkare Bilgi Teknolojileri, I developed an AI task management system that automates task decomposition, prioritisation, and structuring. I integrated GitLab and Jira through MCP and optimised data-normalisation pipelines.

I also built an ANTLR-based parser for airline baggage and cargo messages, pairing it with LLM-powered semantic analysis to extract structured data. For the CV Processor, I used DSPy and LLMs to structure candidate data, with Qdrant for similarity search and SQLAlchemy for the relational schema.

At Coca-Cola İçecek A.Ş., I refactored the Pica application codebase and delivered new Django features, then built Playwright end-to-end test suites. I’m completing an M.Sc. in Artificial Intelligence & Data Science, with a thesis on agentic workflows for product management and model performance testing with Promptfoo.

Experience

Work history, roles, and key accomplishments

AI Engineer

Qkare Bilgi Teknolojileri

Feb 2025 - Jul 2026 (1 year 5 months)

Developed an AI-driven task management system using LLMs and NLP, integrated with GitLab and Jira via MCP. Built an ANTLR-based parsing pipeline for airline UCM messages and a CV processor using DSPy and LLMs with Qdrant for semantic search.

Python LLM Lang Chain LangGraph MCP DSPy Qdrant SQLAlchemy Antlr Azure Streamlit NLP Semantic Search

Software Developer (Django)

Coca-Cola İçecek A.Ş.

Nov 2025 - Apr 2026 (5 months)

Refactored the existing Pica application codebase and delivered new features with Django, improving maintainability and stability. Built automated end-to-end (E2E) test suites with Playwright to maintain application reliability across releases.

Django Playwright E2E Testing Python

Machine Learning Intern

Forest Fire Probability Prediction

Sep 2024 - Oct 2024 (1 month)

Developed ML models on tabular environmental data to predict forest-fire probability for proactive risk assessment. Implemented and fine-tuned multiple architectures (MLP, 1D CNN, TabNet, RNN, LSTM, GRU) with systematic hyperparameter optimisation and end-to-end data preprocessing.

Python TensorFlow Keras scikit learn Tabnet MLP CNN RNN LSTM GRU data preprocessing

Deep Learning Intern

Bladder Tissue Cancer Classification

Jul 2024 - Aug 2024 (1 month)

Designed a deep learning pipeline for bladder tissue cancer classification with EfficientNet, improving accuracy through transfer learning and fine-tuning. Applied data augmentation and image enhancement to strengthen generalisation and built a user-friendly interface for predictions.

Python EfficientNet TensorFlow Keras OpenCV Matplotlib SeaBorn Transfer Learning

Education

Degrees, certifications, and relevant coursework

Sivas Cumhuriyet University

Master of Science, Artificial Intelligence & Data Science

2025 -

Grade: 91.14 / 100.00

Pursuing a Master of Science in Artificial Intelligence and Data Science, with a thesis on developing agentic workflows for product management processes and model performance testing with Promptfoo.