Gunjan Naik, PhD

Data Scientist

Background

I believe in emphasizing innovation in today's increasingly competitive scenario. I am an IT professional with 7+ years of experience in developing Artificial Intelligent (AI) applications along with established competency in using OpenCV on C++, Python-based libraries for Medical image classification/segmentation, and deployment using Nginx and flask. Good in the creation of a Deep learning pipeline for the detection of pathologies in Chest X-ray and CT data. Adept in Medical Image Classification & Segmentation, Radiological Techniques, Image Processing Techniques, Object Detection, Classification, Intelligent Management, and so on.

I possess demonstrated superiority in all phases of the Software Development Life Cycle - analysis, design, development, implementation, and delivery. I am technically proficient in evaluating and identifying the root cause while optimizing the code. Adept in identifying & resolving problems, ramping up project activities with on-time deliverables, and maximizing productivity. Profound capability at maximizing service up-time to upkeep the IT operations running smoothly.

In parallel, I am also doing a Ph.D. in Image processing related to adaptive Gabor kernels. I am using these adaptive kernels for the improvement of weak edges in the Active contour methodology.

Curriculum Vitae

2023-Present

 

Data Scientist, NHS

2021-2023

 

Data Science Engineering Lead, Persistent Systems, India

2020-2021

 

Data Scientist, Smiths Detection, India

2019-2010

 

Data Scientist, DeepTek Inc

2014-2019

 

Research Associate, Persistent Systems, India

Research Projects

Eye2gene

Learn More!

We are always eager for hard-working & motivated people to come and work with us.

If you're interested in joining us, please send Nikolas Pontikos a quick email with a CV and personal statement