Puja Bharti, Ph.D

AI Researcher

Bengaluru, Karnataka, India16 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in medical image processing and analysis
Published multiple research papers in top journals
Strong collaboration skills across organizations

Stackforce AI infers this person is a Healthcare-focused AI Engineer with expertise in image processing and machine learning.

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Skills

Core Skills

Image ProcessingMedical ImagingDeep Learning

Other Skills

AlgorithmsPytorchSignal ProcessingSoftware DevelopmentCPattern RecognitionComputer ScienceXMLC++

About

 Extensively worked on image processing with a focus on medical images  Several research publications in high end engineering journals and international conferences  Well versed with various programming platforms and languages: MATLAB, Python, Pytorch, OpenCV, etc.  Adept in collaborating on projects spanning across multiple organizations  Areas of interest include Image Processing, Machine Learning, Analytics, Deep learning

Experience

16 yrs 9 mos

Total Experience

2 yrs 5 mos

Average Tenure

4 mos

Current Experience

Tata consultancy services

AI/ML Engineer

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India

Sigtuple

AI Engineer

Feb 2024 – Jan 2026 · 1 yr 11 mos · Bengaluru, Karnataka, India

Hearthealth technologies private limited

Research And Development Engineer

Dec 2020 – Feb 2024 · 3 yrs 2 mos

Deep vidya ai / big vision llc

Computer Vision Engineer

May 2020 – Jul 2020 · 2 mos · Bengaluru, Karnataka

Easyderma

Consultant- Computer Vision Researcher

Nov 2019 – Nov 2020 · 1 yr

Intel corporation

Researcher

Jan 2019 – Oct 2019 · 9 mos · Bangalore

Research Intern
During my tenure as research intern at Intel Corporation, I worked on a short-term research project. Key areas of my research included:
 Driving improvements to image compression of medical images using deep learning auto-encoder
 Improving training time of auto-encoder built in Pytorch
 Collaborating with technical institutes such as IITs on research projects

Thapar institute of engineering and technology

Research Scholar

Jul 2012 – Sep 2020 · 8 yrs 2 mos · Patiala Area, India

In my PhD research, I designed a CAD system to classify four liver tissue types by using ultrasound images. Overall research work required frequent interactions with medical professionals on various aspects, including but not limited to, database collection, establishing ROI, results validation etc.
Summary of research work:
 Designed neutrosophic similarity score based method to reduce noise and enhance contrast of images
 Proposed an algorithm that harnesses the potential of neighboring pixels to improve the accuracy of calculated local derivatives that in turn improvise the features extracted using gray-level difference metrics method
 Devised a hybrid feature selection method by combining ReliefF and SFS
 Developed an ensemble model that uses k-NN, SVM, RF and majority voting, to enhance the generalization ability of the classifier
 The validation of results was done on acquired clinical database