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Anila S

@anilas1

Software developer at Philips Healthcare who reduced ultrasound system latency by 25% through C++ performance optimization.

United Kingdom

Message

At Philips Healthcare, I designed and developed remote configuration and software management infrastructure for ultrasound systems, reducing manual intervention by 50% and on-site installation time by 40%. I also improved C++ performance through multithreading and memory management, reducing system latency by 25%.

At QuEST Global – Canon Medical, I developed C++ medical imaging software and optimized DICOM tools, reducing image processing time by 30%. I’ve also worked on test automation, legacy C++ modernization, and AI-assisted development with GitHub Copilot.

Experience

Work history, roles, and key accomplishments

Software Technologist I – Ultrasound

Philips Healthcare

Sep 2021 - Aug 2026 (4 years 11 months)

Designed and developed remote configuration and software management infrastructure for ultrasound systems, reducing manual intervention by 50% and on-site installation time by 40%. Led C++ performance optimization, reducing system latency by 25%, and mentored 6 junior engineers.

C++C#.NET Multithreading Memory Management Performance Optimization DICOM Ultrasound Systems Agile Scrum Code Review Debugging SDLC Technical Mentoring

Software Engineer – Ultrasound Imaging

QuEST Global – Canon Medical

Aug 2018 - Sep 2021 (3 years 1 month)

Developed and maintained C++-based medical imaging software for Canon Medical ultrasound systems, contributing to the Smart Body Mark feature adopted across 100+ systems. Optimized DICOM tools reducing image processing time by 30% and designed test automation frameworks improving coverage by 40%.

C++DICOM Medical Imaging Testing Automation Debugging Root Cause Analysis Code Review Agile Scrum Software Integration

Education

Degrees, certifications, and relevant coursework

Rajiv Gandhi Institute of Technology, Kottayam

Bachelor of Technology, Electronics and Communication Engineering

2014 - 2018

Grade: 7.92 CGPA

Bachelor of Technology in Electronics and Communication Engineering from Rajiv Gandhi Institute of Technology, Kottayam, affiliated with Mahatma Gandhi University, with a CGPA of 7.92.