SKILLS
TOOLS
Python, C++, MATLAB, AWS, Git, GitHub, CMake, PyCharm, VS Code, OpenCV, Dlib, LLMs.
ML
PyTorch, Scikit-learn, Numpy, Scipy, Pandas, Timm, Albumentations, PyTorch Metric Learning, Weights&Biases.
ML DEPLOYMENT
Onnxruntime, Libtorch, OpenVINO, MNN, Apache TVM, ML Flow, Sagemaker, Kubernetes.
APPLIED ML
Computer Vision, Deep Learning, Classification, Linear Regression, Object Detection, Landmark Detection, Anomaly Detection, Similarity Learning, Contrastive Learning.
EDUCATION
PhD in BIOMEDICAL ENGINEERING
Rutgers University & New Jersey Institute of Technology
2012-2018
MS in ELECTRICAL ENGINEERING
Lehigh University
2009-2011
BS in ELECTRICAL AND COMMUNICATIONS ENGINEERING
Kocaeli University, Turkey
2002-2006
ABOUT
ML Engineer with over 5 years of experience in data collection,
analysis, and visualization. In-depth knowledge of digital signal processing,
image processing, machine learning and computer vision.
Expertise in training and deploying deep learning models
for production.
WORK EXPERIENCE
MACHINE LEARNING ENGINEER
Iris ID Systems, Inc. | 2020 - current
Developed and deployed machine learning models to be used in various stages of the biometric identification.
- Significantly improved the identification accuracy (x2) by developing a model from scratch.
- Developed a new countermeasure algorithm and reduced the false positives by ~90%
- Created novel face anti-spoofing algorithms to detect 2D and 3D presentation attacks.
- Enhanced face detection accuracy, including for faces with masks and PPE, by developing an advanced object detection model.
-
Helped carrying the company to a prestigious 3rd position in National Institute of Standards and Technology’s (NIST)
Irex10 competition.
ADJUNCT FACULTY
The College of New Jersey | Spring 2015, Fall 2019
- Instructed senior-level course on Bioinstrumentation, focusing on biomedical signal processing techniques for EMG, EEG, and ECG data.
- Taught the Physiological Systems-I course, integrating data analysis and statistical methods to interpret physiological signals.
- Utilized statistical software and programming languages (e.g., Python, MATLAB) to teach students data analysis and visualization techniques.
New Jersey Institute of Technology | Fall 2019
- Instructed the Fundamentals of Engineering Design course, teaching students the basics of programming, design, and engineering.
DATA SCIENTIST
New Jersey Institute of Technology | 2018 - 2019
- Led multiple research projects, overseeing data collection, analysis, and interpretation to drive insights and inform decision-making.
- Utilized machine learning techniques to analyze complex biomedical data, identifying patterns and predicting outcomes.
- Assisted in receiving a research grant ($300K) funded by the National Institute of Health (NIH).
RESEARCH ENGINEER
New Jersey Institute of Technology | 2012 - 2018
- Designed and built a data acquisition system that fully automated the data collection process.
- Utilized ML techniques (classification and regression) to investigate the neural control of movement.
- Published research papers and attended academic conferences.
SELECTED PUBLICATIONS
“Prediction of forelimb EMGs and movement phases from corticospinal signals in the rat during the reach-to-pull task,” International Journal of Neural Systems, 2019.
Link
“Convolutional networks outperform linear decoders in predicting EMG from spinal cord signals,” Frontiers in Neuroscience, 2018.
Link
Google Scholar
ResearchGate
HONORS AND AWARDS
RESEARCH TRAINING GRANT | 2019
Received a training grant from New Jersey Commission on Spinal Cord Research regarding spinal cord injury research.
PROGRAM SELECTEE | 2017
Selected to participate in the second NIH-sponsored Summer School in Adaptive Neurotechnologies.
GRADUATE SCHOLARSHIP | 2008
Full scholarship awarded by Turkish Ministry of National Education for ESL and graduate education in the US.