Rajdeep Das
Bengaluru
Summary
Experienced Development Engineer with outstanding background in New Product Introduction (NPI) schedules, including rapid issue resolution. Developed, supported and enhanced design of MRI Workflow and MR Image Reconstruction. Good communication and analytical skills for interfacing within technical team and customers.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Senior Development Engineer
GE Healthcare
04.2024 - Current
- Spearheaded integration of Deep Learning-based MRI reconstruction algorithms into GE Healthcare’s proprietary Orchestra platform, enhancing image quality for sequences like DIFFUSION, DISCO, IDEAL, and PROPELLER.
- Led technical development of AIR x™, an AI-driven MRI slice prescription tool that automates anatomical detection and slice planning, deployed across 1000+ GE MRI scanners globally.
- Engineered DL capabilities for Mensa Nerve™ sequence on GE Healthcare’s next-gen Concerto platform, enabling echo-combined data processing for neurological imaging; validated across 20+ clinical sites.
- Collaborated with cross-functional teams (clinical, software, hardware) in Milwaukee facility to drive closure of critical milestones for Rhea Program under Concerto, ensuring clinical-grade image quality and integration testing.
Development Engineer
GE Healthcare
07.2019 - Current
- In DL based Image reconstruction, reduced trainable parameters by 96% making model optimized and light weight,
- Deployed AI models by utilizing Triton based Inference Server & reduced inference time by 63%.
- Deployed AI Models at customer site with improved MR reconstruction algorithm using end to end Microservice based architecture on platform code base.
- Saved 50% scan time , by working on improved denoising algorithms
- Invented and implemented multi-shot reconstruction techniques for Diffusion Weighted Imaging, resulting in two proprietary trade secrets approved by the US and CAN Patent Evaluation Boards.
Intern
GE Healthcare
08.2018 - 07.2019
- Novel idea developed for image reconstruction algorithm for MRI leveraging concept of Conjugate Synthesis in Fourier Domain as part of Master's thesis.
- Published Work in ISMRM 2019 - India Chapter, Internal GEHC Symposiums.
Education
M.Tech - Electrical Enginnering
NIT Calicut
B.Tech - Instrumentation Engineering
RCC Institute of Information Technology
Skills
- Deep learning expertise with proficiency on establishing Inference sessions
- Programming in Python, C, and MATLAB
- Containerization expertise with Docker
- RESTful API development
- Deploying solutions in CI/CD Infrastructure leveraging Jenkins Pipeline
- Agile project management
Accomplishments
- Granted Trade Secret (IP) on solving Complex Image reconstruction problem.
- Publication Count : 2, in ISMRM Conference.
Certification
Neural Networks and Deep Learning awarded from Coursera
Improving DL Networks: Hyperparamter tuning, Regularizationand Optimisation , awrded by Coursera
Custom Models, Layers and Loss Functions with Tensorflow, awarded by Coursera
Timeline
Senior Development Engineer
GE Healthcare
04.2024 - Current
Development Engineer
GE Healthcare
07.2019 - Current
Intern
GE Healthcare
08.2018 - 07.2019
B.Tech - Instrumentation Engineering
RCC Institute of Information Technology
M.Tech - Electrical Enginnering
NIT Calicut
Research Accomplishments
- R. Das, “System and method for multi-shot variable auto-calibrating reconstruction for single channel diffusion weighted magnetic resonance imaging using low rank” U.S. Patent 12,332,334, Apr. 30, 2024[Online]. Available: .https://patents.google.com/patent/US12332334B2
- 2 Trade Secret Granted under GE Precision Healthcare LLC
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