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I am a Responsible AI Engineer with a Master’s degree in Computer Science from the University of Saarland. I have hands-on experience building language models and computer vision systems, and I’m passionate about creating safe, scalable AI solutions for real-world problems. I have developed Retrieval-Augmented Generation (RAG) chatbots and semantic search systems for automotive and enterprise use, improved multimodal retrieval with CLIP and BLIP approaches, and built tools for adversarial robustness testing of RAG chatbots. I’m proficient in Python and SQL, comfortable with Azure and cloud workflows, and I communicate fluently in English, native Russian and Azerbaijani, while continuing to study German at the B1 level.…I am a Responsible AI Engineer with a Master’s degree in Computer Science from the University of Saarland. I have hands-on experience building language models and computer vision systems, and I’m passionate about creating safe, scalable AI solutions for real-world problems. I have developed Retrieval-Augmented Generation (RAG) chatbots and semantic search systems for automotive and enterprise use, improved multimodal retrieval with CLIP and BLIP approaches, and built tools for adversarial robustness testing of RAG chatbots. I’m proficient in Python and SQL, comfortable with Azure and cloud workflows, and I communicate fluently in English, native Russian and Azerbaijani, while continuing to study German at the B1 level.

Fidan Hasanova

AI Engineer, Data Scientist, Database Developer

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I am a Responsible AI Engineer with a Master’s degree in Computer Science from the University of Saarland. I have hands-on experience building language models and computer vision systems, and I’m passionate about creating safe, scalable AI solutions for real-world problems. I have developed Retrieval-Augmented Generation (RAG) chatbots and semantic search systems for automotive and enterprise use, improved multimodal retrieval with CLIP and BLIP approaches, and built tools for adversarial robustness testing of RAG chatbots. I’m proficient in Python and SQL, comfortable with Azure and cloud workflows, and I communicate fluently in English, native Russian and Azerbaijani, while continuing to study German at the B1 level.…I am a Responsible AI Engineer with a Master’s degree in Computer Science from the University of Saarland. I have hands-on experience building language models and computer vision systems, and I’m passionate about creating safe, scalable AI solutions for real-world problems. I have developed Retrieval-Augmented Generation (RAG) chatbots and semantic search systems for automotive and enterprise use, improved multimodal retrieval with CLIP and BLIP approaches, and built tools for adversarial robustness testing of RAG chatbots. I’m proficient in Python and SQL, comfortable with Azure and cloud workflows, and I communicate fluently in English, native Russian and Azerbaijani, while continuing to study German at the B1 level.

Available to hire

I am a Responsible AI Engineer with a Master’s degree in Computer Science from the University of Saarland. I have hands-on experience building language models and computer vision systems, and I’m passionate about creating safe, scalable AI solutions for real-world problems.
I have developed Retrieval-Augmented Generation (RAG) chatbots and semantic search systems for automotive and enterprise use, improved multimodal retrieval with CLIP and BLIP approaches, and built tools for adversarial robustness testing of RAG chatbots. I’m proficient in Python and SQL, comfortable with Azure and cloud workflows, and I communicate fluently in English, native Russian and Azerbaijani, while continuing to study German at the B1 level.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Russian

Fluent

Azerbaijani

Fluent

German

Intermediate

Work Experience

AI Engineer at TP24

April 1, 2025 - Present

Built and deployed AI-driven reconciliation pipelines for fraud detection in financial ledgers, improving detection accuracy from 72% to 89%. Implemented anomaly detection models on high-volume account receivable data, reducing false positives in fraud alerts by 30% and cutting manual review time by 40%. Designed hybrid matching algorithms (embeddings, clustering, and heuristics), raising reconciliation coverage from 68% to 92% across multiple client datasets.

Data Scientist at Diconium

April 1, 2025 - October 23, 2025

Designed and implemented Retrieval-Augmented Generation (RAG) chatbots to enhance QA capabilities, improving answer accuracy from 65% to 90% and reducing retrieval latency from 1.2s to 0.8s. Worked on a semantic search project, improving information retrieval accuracy from 70% to 88% and doubling performance. Implemented an Azure Assistant to streamline user interactions and automate processes, supporting sustainability initiatives across departments.

Artificial Intelligence Intern at The Captury

September 1, 2023 - October 23, 2025

Contributed to the development of motion capture systems capable of tracking humans, props, and animals using commodity video cameras without markers or suits.