Rakshith Sathish

AI Researcher

Bengaluru, Karnataka, India2 yrs 7 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

4+ years of deep learning research experience.
Expertise in medical imaging and computer vision.
Initiated COVID-19 data standards project.

Stackforce AI infers this person is a Data Scientist with a focus on Healthcare and AI-driven solutions.

Contact

Skills

Core Skills

Deep LearningComputer Vision

Other Skills

AlgorithmsArtificial Intelligence (AI)C (Programming Language)CommunicationComputer ScienceConvolutional Neural Networks (CNN)Cross-functional Team LeadershipData ScienceDebuggingDeep Neural Networks (DNN)EnglishFfmpegFlaskHTMLImage Processing

About

Senior Data Scientist with 4+ years of research experience in deep learning for computer vision in medical imaging domain and 1+ years of industry experience in earth observation applications, with publications in top conferences and journals. I am strongly driven to solve complex vision problems using compute efficient models and sparse labels.

Experience

Satsure

3 roles

Data Science Manager

Jul 2025 – Present · 8 mos

Data Scientist-3

Promoted

Apr 2024 – Jul 2025 · 1 yr 3 mos

Data Scientist-2

Jul 2023 – Mar 2024 · 8 mos

Covid-19 action group on ai and radiology

Initiator

Mar 2020 – Sep 2020 · 6 mos · Kharagpur, West Bengal

Covid19Action-radiology was a pro-bono initiative undertaken by the Kharagpur Learning, Imaging Visualization (KLIV) research group during the initial days of the Covid19 pandemic. The initiative aimed at exchanging anonymised data of relevance for building a community-driven Radiology Reporting and Data Standards (RADS) for clinical management of COVID-19 symptomatic cases and democratising the availability of radiology data for training AI models. The initiative was supported by The POCUS ATLAS, RSNA, Indian Radiological and Imaging Association, Valdecilla, Apollo Gleneagles Hospital Kolkata, and Covid19challenge.eu.
We released two versions of COVID-19 RADS.
We released two compilation datasets on the IEEE data port.
Won third prize in the Student Innovators and Educators category of Track-2 in the Covid-19 SAMADHAN | MHRD Mega Online Challenge organised by Ministry of Human Resource Development’s Innovation Cell, AICTE, Forge and InnovatioCurris.
Website: https://covid19action-radiology.github.io/
Video: https://youtu.be/l6z5Qo5sVEI

NumPy

Indian institute of technology, kharagpur

2 roles

Research Assistant

Aug 2019 – Aug 2022 · 3 yrs · Kharagpur Area, India

Worked as a member of Kharagpur Learning, Imaging Visualization (KLIV) research group lead by Dr Debdoot Sheet on project MIRIAD (Many Incarnations of Screening Radiology for High Throughput Disease Screening Via Multiple Instance Reinforcement Learning with Adversarial Deep Neural Networks) sponsored by Intel India.
Trained deep learning models for various medical imaging tasks like segmentation, classification and detection on HPC servers.
Optimised CNN inference models for production-ready deployment on CPUs using Intel OpenVINO Toolkit.
Managed and orchestrated 1 petaFLOP rack-mounted server cluster.
Developed multiple web applications using python based web frameworks.
Contributed to open-source projects like Intel OpenVINO toolkit.
Published research paper at a leading conference.

Python (Programming Language)OpenVINODeep LearningComputer Vision

Intern

Jun 2018 – Jul 2018 · 1 mo · Kharagpur Area, India

Worked as an Intern with Kharagpur Learning, Imaging Visualization (KLIV) research group.
Developed and deployed an AI/ML-based web application with 3 tier architecture using python
based web frameworks.
Systematic optimisation was done to improve the performance/speed of web application and
inference time of the deep learning model.

Python (Programming Language)OpenVINO