The Minds Behind Intelligent Innovation
Data scientists, AI engineers, researchers, and problem-solvers
Jagdeep Chawla
At eNest Technologies, we use Artificial Intelligence to solve complex, real-world problems through research, engineering, and data-driven innovation. Our AI and Data Science teams work across medical imaging, biomedical signals, computer vision, time-series analysis, NLP, generative AI, and advanced analytics to develop intelligent solutions that can move from experimentation to reliable deployment.
We believe meaningful AI begins with understanding the problem, the data, and the domain. By combining scientific thinking, modern AI methods, rigorous validation, and strong software engineering, we help transform ideas and complex datasets into practical, scalable solutions with measurable impact.
NorthWestern University, Illinois
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Lead Data Scientist
Leads and manages the Data Science team, driving AI solutions for medical imaging and computer vision across the regulated development lifecycle.
- Develops AI solutions for segmentation, detection, classification, and quantitative imaging
- Supports clinical validation, performance analysis, technical reporting, and regulatory documentation
Data Scientist
Builds and innovates AI solutions across biomedical signals, medical imaging, and wearable health data.
- Develops intelligent algorithms for ECG, PPG, PCG, SCG, imaging, and other biomedical data
- Builds solutions for denoising, feature extraction, event detection, computer vision, and predictive modelling
Data Scientist
Develops AI solutions for biomedical and physiological signal analysis from wearable and sensor-based data.
- Works with ECG and related signals for heart monitoring, respiration analysis, and physiological feature extraction
- Builds algorithms for preprocessing, denoising, event detection, and time-series analysis
Data Scientist
Develops AI solutions for wearable sensing, activity analysis, and continuous health monitoring.
- Analyzes accelerometer and motion data for steps, gait, posture, activity, and fall detection
- Combines wearable and ECG signals to support broader physiological and behavioral monitoring
Medical Annotator
Supports high-quality annotation of medical and biomedical data for AI training, testing, and validation.
- Works with medical imaging and can adapt to physiological, sequential, pathology, and other healthcare datasets
- Follows clinician-guided protocols and uses tools such as 3D Slicer and OHIF Viewer to maintain annotation quality
Medical Annotator
Prepares structured, clinically guided annotations for diverse medical AI and research applications.
- Handles anatomical, pathological, event-based, and task-specific labeling based on project requirements
- Works closely with clinicians and technical teams to follow standardized annotation and quality-control practices
Medical Annotator
Supports medical data curation and annotation workflows across a range of biomedical AI applications.
- Can be trained for new imaging, biosignal, pathology, sequential, and domain-specific annotation tasks
- Applies anatomy, biology, annotation tools, and defined quality standards to support reliable dataset preparation