Summary
Esin Haritaoglu is a founder and CEO with a decade of hands-on machine learning and deep learning experience, specializing in multimodal AI for healthcare—ranging from audio-spectrum analysis and cough-based COVID detection to X-ray/MRI classification and automatic radiology report generation. She blends research-grade expertise in Transformers, PyTorch and TensorFlow with practical product delivery, having led projects in RNA sequence modeling, prostate cancer grading, and self-supervised spectrogram learning. Based in Palo Alto and trained at Stanford’s Graduate Program in AI, she consistently applies ethical and safety-first principles to build responsible AI for mental healthcare through her startup Linarite AI. A long-time volunteer on “AI for Good” initiatives, she uniquely bridges medical imaging, genomics, and conversational toxicity analysis while retaining deep roots in computer vision from her earlier OCR and scene-text research.
10 years of coding experience
21 years of employment as a software developer
B.S. Electrical and Electronics Engineering Telecommunications Engineering, B.S. Electrical and Electronics Engineering Telecommunications Engineering at Bilkent University
MS. Electrical and Electronics Engineering, MS. Electrical and Electronics Engineering at University of Maryland
Graduate Program Artificial Intelligence, Graduate Program Artificial Intelligence at Stanford University