Oğuz Akif Tüfekcioğlu’s CV
About
AI engineer and M.Sc. researcher about Sign Language Spotting with a track record of converting complex ideas into high-impact products, worked on multiple fields such as Healthcare, Construction Industry and IoT. Also experienced in multiple fields in Artificial Intelligence; Computer Vision, Deep Learning, Machine Learning systems now used in production. Skilled at leading end-to-end research, annotation, experimentation, and deployment pipelines, I thrive on tackling interdisciplinary challenges that improve safety, accessibility, and human–machine interaction.
Experience
Ankaref (Industrial IoT), AI Software Engineer
- Aug 2024 – present
- Ankara, Türkiye
- Delivered real-time anomaly-detection pipeline for concrete-compression tests: YOLOv8 on Raspberry Pi 5 + Coral TPU, multi-RTSP ingestion via FFmpeg/GStreamer, OpenCV post-processing
- Built end-to-end edge software, automated ML experiments with MLflow, and managed annotations in CVAT
- Created SPT-hit audio classifier and drilling/idle stage detector using mel-spectrogram, RMS, and kurtosis features; optimized Boosted Tree model for CPU inference
- Integrated ADXL375 accelerometer, rotary encoder, GPS, and INMP441 mic for multi-sensor analytics
- Deployed Turkish speech-to-text service (whisper.cpp) with custom speaker diarization (Silero VAD + SpeechBrain embeddings + spectral clustering)
- Dockerized all services and deployed on Edge devices. Managed CI/CD actions with internal Jenkins instance
- Took part in the R&D projects, worked in Tubitak projects, and wrote project reports
Algomedi, AI Software Engineer
- Sept 2023 – Aug 2024
- Izmir, Türkiye
- Built ECG labeling application and curated in-house dataset for supervised training
- Trained LightGBM model with hand crafted features, later published in Journal of Medical & Biological Engineering
- Conducted SHAP analysis revealing HRV and QRS morphology as top predictors, aligning with cardiology practice
- Packaged inference service and contributed to clinical-validation documentation
- Took part in the R&D projects, worked in Kosgeb projects, and wrote project reports
Education
Hacettepe University, MSc in Computer Engineering
- Sept 2024 – present
- Ankara, Türkiye
- Working in Hacettepe SignLab research group as one of the primary researchers about the Sign Spotting topic for sign language recognition.
- Mentoring junior researchers on PyTorch, data preprocessing, and experiment reproducibility.
- Working in Tubitak 1001 project about Sign Language Translation, focusing on the use of transformer-based sequence models.
- GPA: 3.74/4.0
Dokuz Eylül University, BSc in Computer Engineering
- Sept 2018 – June 2023
- İzmir, Türkiye
- Ranked 2nd in the Graduate Projects Competition in GBYF 2023 with Video Object Remover in Entertainment and Education category
- GPA: 3.45/4.0
University of Konstanz, BSc in Computer Science
- Oct 2021 – Mar 2022
- Konstanz, Germany
- Courses: Machine Learning, Data Science
- Erasmus+ exchange program
Skills
- Programming Languages: Python, C#, Java, JavaScript, Bash
- ML / DL Frameworks: PyTorch, TensorFlow, Keras, LightGBM, TensorFlow Lite, YOLO, Whisper, SpeechBrain, Silero VAD
- Data & Experiment Tools: MLflow, CVAT, Weights & Biases, SHAP, Pandas, NumPy
- Edge & Multimedia: FFmpeg, GStreamer, OpenCV, Coral TPU, Raspberry Pi 5, RTSP streaming, gRPC
- DevOps & Version Control: Git, Docker, Hugging Face Spaces, Firebase
- Operating Systems: Linux, Windows
- Languages: English (B2), Turkish (native)
Publications
Explainable AI for Specific Arrhythmia Detection: SHAP-Based Insights from Multi-Lead ECG Data (10.1007/s40846-025-00949-0)
- Apr 2025
- M.E. Kılıç, O.A. Tüfekçioğlu, Y.R. Yılancıoğlu, et al.
- Journal of Medical & Biological Engineering
- July 2025
- O.A. Tüfekçioğlu, M.Ö. Efe
- Proc. 11th Int. Conf. on Control, Decision and Information Technologies (CODIT 2025)