cv
Binesh Kumar's resume.
Basics
| Name | Binesh Kumar Sadanandan | 
| Label | Ph.D. Candidate & Research Engineer | 
| contact(at)bineshkumar(dot)me | |
| Url | https://sail-lab.org/rushmore_teams/binesh-kumar/ | 
| Summary | Ph.D. candidate at SAIL Lab, University of New Haven, with extensive experience in data science and healthcare technology. Specializing in AI applications for healthcare, particularly precision oncology. | 
Work
-  
Ph.D. Student
University of New Haven - SAIL Lab
Research in AI applications for healthcare, particularly using reinforcement learning for precision oncology.
- Advanced methodologies for personalized cancer treatment
 - Deep learning for dose estimation
 
 -  
Senior Principal Research and Development Engineer & Technical Fellow
Medtronic
Focusing on data analytics, machine learning, and cloud technologies to enhance healthcare solutions in minimally invasive therapies.
- Lead technical teams
 - Develop innovative healthcare solutions
 
 
Education
-  
Connecticut, US
 
Skills
| Data Analysis & Research | |
| Study Design | |
| Budget Management | |
| Academic Publishing (ICML) | |
| Data-to-Insights Pipeline | 
| Programming & Data Tools | |
| Python (pandas, NumPy, SciPy) | |
| SAS | |
| SQL | |
| Power BI | |
| DAX | 
| Machine Learning & Medical Imaging | |
| PyTorch | |
| TorchXRayVision | |
| Deep Learning | |
| Chest X-ray Analysis | |
| Adversarial Attacks | |
| Vision-Language Models | 
| Computer Vision Pipelines | |
| Annotation Automation | |
| Surgical Instrument Tracking | |
| Model Robustness Analysis | |
| Preprocessing Pipelines | 
| Systems Integration & Engineering Apps | |
| ThingWorx Navigate | |
| Windchill Integration | |
| Database Schema Design | |
| Product Data Management | |
| Inventory Tracking | 
Languages
| English | |
| Fluent | 
Interests
| AI in Healthcare | |
| Precision Medicine | |
| Reinforcement Learning | 
Projects
-  January 2023 - Present
Precision Oncology Research
Developing methodologies for personalized cancer treatment using AI and machine learning.