ββ
ββ
ββ
ββ
ββ
ββ
ββ
ββ
ββ
Experienced technology leader, ML/AI engineer, and research professor with a PhD in Computer Science and more than a decade of expertise spanning academia, industry, and R&D. I thrive at the intersection of research and business, bringing deep scientific rigor, hands-on development experience, and strategic vision to create impactful technological solutions. My career bridges three complementary domains:
- Scientific Research: Over 10 years of leading advanced research in machine learning, data science, and AI-driven innovation, with work featured in journals such as Nature, Frontiers, and Springer.
- Industry Applications: Deep experience delivering ML/AI solutions in industry settings, from medical imaging and predictive modeling to automated monitoring and signal processing. I have worked with life sciences, healthcare, manufacturing, and pharmaceutical clients, translating scientific insights into deployable systems.
- Engineering Management: Leading engineering teams, setting technical direction, fostering best practices, and aligning engineering goals with business outcomes. Currently building and scaling cross-functional R&D team.
- Wavelets in the brain: Deep learning for non-invasive ICP monitoring
- AI dissects arterial risk: OCT plaque segmentation with deep learning
- Sales Pilot: AI-driven lead scoring at scale
- Harnessing ML for laser ablation assessment in hyperspectral imaging
- Tumor immune phenotype classification
- Segmentation of microvascular features
- Explainable AI to identify pulmonary edema
- ML-driven prosthetic heart valve design
- Deep segmentation for guiding surgical tools in 3D ultrasound
- Automatic scoring of COVID-19 severity
- Guided X-ray diagnosis for COVID-19 and pneumonia
- Face Shield 3D: Instant face and ear defacing for CT and MRI
- Landmark tracking for safer valve implantation
- Deep learning stenosis detection in real time
- AI-powered microscopy: Detecting and counting cancer cells
- Deep anatomy: High-precision 3D organ segmentation via V-net
- DeepVision wildfire tracking system in Siberia
- Ray-casting segmentation for convex anatomical structures in MRI
Journal Articles
Conference Proceedings
Posts
| Title | Source | Year |
|---|---|---|
| Testing AI low-code platforms: What actually worked and what didnβt | Symfa Blog | 2025 |
| The future of business challenges: People + AI or People vs AI | 2025 | |
| Freelance tech trends: Top IT skills, pay rates, and regional demand | Symfa Blog | 2025 |
| Freelance pricing trends: Industry, location, and expertise insights | Symfa Blog | 2025 |
| Transforming chaotic data into clarity: Practical insights and a streamlined pipeline | Medium | 2024 |
| Harnessing AI for histopathology: A leap towards precision medicine | Quantori Blog | 2024 |
- OCT dataset for segmentation of atherosclerotic plaque morphological features
- Histological dataset for microvascular segmentation of tissue-engineered vascular grafts
- Hyperspectral imaging dataset for laser thermal ablation monitoring in vital organs
- Dataset for detection and segmentation of the radiographic features of pulmonary edema
- Dataset for COVID-19 segmentation and severity scoring
- Chest X-ray dataset for lung segmentation
- Angiographic dataset for stenosis detection
- Aortography keypoint tracking for TAVI