
Radhika Gour
@radhikagour
Software Development Engineer at LG Soft India building C++ features for webOS Smart TVs and compositor systems.
What I'm looking for
At LG Soft India, I take webOS Smart TV platform features from requirements through design, implementation, testing, and production deployment. I built a screen magnification feature using shader programming and matrix transformations, and split the display into concurrent screens for multiview.
I designed system-wide input handling for remote controls, keyboards, touch, and gamepads, coordinating with compositor, application-integration, and QA teams. I also built a C++ and Python Buffer Extraction Tool to capture client and server frames for rendering-issue diagnosis.
I debugged Wayland client-server communication issues across YouTube, Netflix, Amazon Prime Video, JioHotstar, and Live TV. My production work follows unit testing, peer code review, and documentation practices.
Earlier, as a Software Engineer Intern at LG Soft India, I wrote and maintained C++ backend features, contributed to QML-based UI development, and debugged platform features before release. In a personal project, I built a movie recommendation system using content-based and collaborative filtering, cosine similarity, and SQL.
Experience
Work history, roles, and key accomplishments
Research Engineer I
LG Soft India
Jun 2025 - Present (1 year 5 months)
Owned features end-to-end on the webOS Smart TV platform, including accessibility and multiview features. Designed system-wide input handling and built internal tooling for rendering-issue diagnosis.
Software Engineer Intern
LG Soft India
Jul 2024 - May 2025 (10 months)
Wrote and maintained C++ backend features for webOS TVs, contributed to QML-based UI development, and debugged platform features before release.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology, Bhopal
Integrated M.Tech, Artificial Intelligence & Machine Learning
2020 - 2025
Grade: 8.43/10
Integrated M.Tech in Artificial Intelligence & Machine Learning with a CGPA of 8.43/10.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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