Summary

Overview

Work History

Education

Skills

Projects

Awards Recognition

Timeline

Rajesh K

Software Engineer

Tokyo

Summary

Experienced software engineer with 8+ years in Linux-based development, specializing in Embedded Systems, AI Integration, and Healthcare Imaging Solutions. Ready to apply expertise to cutting-edge projects that drive technological boundaries and boost business success. Passionate about using technical skills to advance the industry and create a significant impact.

Overview

years of professional experience

Work History

Lead Engineer

Quest Global Japan Corporation

05.2022 - Current

Deployed deep-learning AI models for CT image enhancement in scanner machines, improving diagnostic accuracy and image clarity.
Designed and implemented C++-based preprocessing and post processing pipelines to optimize AI model performance.
Optimized image flow execution for improved memory efficiency and processing speed, enhancing overall system performance.
Collaborated closely with data scientists to refine and enhance image quality models, ensuring optimal reconstruction and visualization.

Senior Software Engineer

Quest Global Engineering Services Pvt Ltd

06.2018 - 05.2022

Developed and enhanced various Linux platform applications.
Migrated legacy components and conducted bug fixing, issue analysis, and component testing.
Led client interactions for requirement gathering and technical support.
Designed and developed a C++-based microservice for DICOM image compression.

R&D Engineer

Breeze Innovations Pvt Ltd

08.2016 - 06.2018

Developed customized Linux-based embedded OS solutions per client requirements.
Conducted OS trimming, product testing, and component approvals.

Education

Bachelor of Technology (B.Tech) - Electronics and Communication Engineering

Dr. M.G.R Educational And Research Institute University

Chennai,India

06-2014

Skills

C
C
Python
Bash scripting

Docker and Kubernetes
Jenkins/GIT
Linux

Projects

Automatic Ticket Vending Machine

Developed a streamlined CentOS 6.7-based OS tailored to CRIS specifications for Indian Railways' Automatic Ticket Vending Machines (ATVMs). Integrated essential functionalities, including:

Touchscreen calibration utilities
RFID-based ticket validation
SNMP-based remote management software
Local terminal configuration utilities

Clinical Software Engineering System (CSE)

A foundational imaging platform utilized by multiple GE Healthcare products. Provided:

Secure DICOM image management
Advanced visualization toolkits for real-time scan analysis
Optimized scanner workflow frameworks for medical imaging processes
PostgreSQL database integration for structured healthcare data management

CT Recon & Remote Recon – Onsite

Recon is a critical software component in CT scanners responsible for real-time image reconstruction and the Remote Recon system operates via multiple microservices deployed in Docker containers on a separate machine. Key workflow:

Patient scan initiates a reconstruction request from hardware
Remote services generate and process the reconstructed image
The final DICOM image is transmitted to the console for analysis