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Tuna Kömürcü
Open to opportunitiesAI Engineering Intern / Developer
AI engineer at Mikrogrup who developed MomTest AI and improved GİB CAPTCHA recognition accuracy from 41% to 93%.
TurkeyAI Engineering Intern / Developer at Mikrogrup
Experience
AI Engineering Intern / Developer
Developed MomTest AI end-to-end, an agent loop using Function Calling and Structured Outputs with guardrails to prevent leading-question bias. Integrated Markdown-based rule files, deployed on AWS, and built test suites; also fine-tuned GİB CAPTCHA OCR, raising accuracy from 41% to 93%.
Function CallingStructured OutputsAWSEC2S3IAMCloudwatchUnit TestingIntegration TestingModel Fine TuningOCRTROCR
AI Engineering Intern / Developer
Designed and built a database-agnostic Text2SQL Agent end-to-end, including architecture and prompt engineering. Built a Hybrid Retrieval (Dense + BM25) architecture with Qdrant for dynamic schema retrieval, reaching ~95% accuracy on simple and ~85% on medium-complexity queries; load-tested with Locust and monitored latency via Prometheus and Grafana.
Text2SQLPrompt EngineeringHybrid RetrievalDense RetrievalBM25QdrantHNSWLocustPrometheusGrafanaResponse Time Monitoring
AI Engineering Intern
Designed and trained an Edge-Attentive Residual CNN from scratch, using attention mechanisms to denoise raw radar imagery. Implemented hybrid activation and loss functions, applied ensemble learning, and managed the end-to-end training pipeline.
CNNAttention MechanismsImage DenoisingEnsemble LearningMachine Learning PipelinesActivation FunctionsLoss Functions
Education
TOBB University of Economics and Technology
Pursuing a Bachelor of Science in Artificial Intelligence Engineering with a focus on Machine Learning, Deep Learning, NLP, and Software Architecture.