Vinit F.

Software Engineer

Bengaluru, Karnataka, India2 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in automation frameworks for advanced imaging platforms.
Proven track record in backend development for scalable applications.
Strong experience in UI modernization for medical devices.

Stackforce AI infers this person is a Backend and Automation Specialist in Healthcare and SaaS industries.

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Skills

Core Skills

AutomationSystem ValidationBackend DevelopmentOrder ManagementUi ModernizationMedical Device Software

Other Skills

C++C#Camera PipelinesCodedUIAppiumREST APIsQtSQLUI DevelopmentPerformance OptimizationCross-team CollaborationRegulated SystemsReal-Time Operating Systems (RTOS)DebuggingCross-functional Collaborations

About

As a Software Engineer at Intel, I contribute to the validation and automation of system-level software for advanced imaging platforms like IPU7 and IPU8. My work includes designing and maintaining robust frameworks using C#, CodedUI, and Appium to enhance software quality and streamline testing processes. Collaborating across teams, I’ve delivered scalable automation codebases that accelerate regression cycles and improve test coverage. With a Master's in Computer Science and Engineering from VIT and a Bachelor's in Information Technology from Dharmsinh Desai University, I bring a strong academic foundation to my work. My technical expertise spans backend development, automation, and UI modernization, demonstrated in previous roles at Squiwo and GE Healthcare. I aim to drive impactful solutions in scalable systems, platform engineering, and advanced software automation.

Experience

2 yrs 8 mos

Total Experience

1 yr 4 mos

Average Tenure

2 yrs 1 mo

Current Experience

Intel corporation

Software Engineer

Apr 2024 – Present · 2 yrs 1 mo · Bengaluru · Hybrid

VTG | Camera & Imaging Platforms (IPU7 / IPU8)
Designed and automated end-to-end UI and system validation frameworks using C#, CodedUI, and Appium, improving overall software quality and release confidence across camera pipelines.
Led automation for IQStudio (camera validation tool), reducing manual validation effort by ~40% and significantly accelerating regression cycles.
Built Appium-based automation suites to validate critical workflows, cutting test execution time by 50% (60 min → 30 min) while increasing coverage.
Developed and maintained scalable automation codebases for IPU6 and IPU7 platforms, enabling consistent image-processing validation across multiple hardware generations.
Automated Safety Design Studio UI for Intel RealSense, improving bug detection rate, UI reliability, and repeatability of safety-related test scenarios.
Collaborated closely with system software, imaging, and validation teams to identify gaps, debug failures, and improve test stability across complex camera pipelines.
Contributed to faster validation cycles, higher test reliability, and reduced manual dependency, supporting Intel’s high standards for production-grade imaging systems.

C++C#Camera PipelinesAutomationSystem Validation

Squiwo

Software Engineer

Aug 2023 – Mar 2024 · 7 mos

Delivery Agent Application | On-Demand Grocery Platform
Built and enhanced backend features for a high-usage Delivery Agent Application, directly improving order fulfillment efficiency and delivery workflows
Implemented automatic order assignment logic, reducing manual intervention and enabling faster, more reliable delivery dispatch.
Developed real-time location sharing functionality, improving delivery tracking accuracy and customer visibility.
Designed and delivered admin dashboards and detailed order/delivery reports, enabling data-driven operational decisions and performance monitoring.
Optimized order management workflows, improving system reliability and scalability for day-to-day operations.
Collaborated closely with product managers, frontend developers, and QA teams to convert business requirements into production-ready technical solutions.
Participated in testing, debugging, and production issue resolution, ensuring a stable and user-friendly application experience.
Gained strong experience in end-to-end software development, from feature design and implementation to validation and deployment.

Backend DevelopmentREST APIsOrder Management

Ge healthcare

Software Engineer

Sep 2022 – Jul 2023 · 10 mos · Bengaluru, Karnataka, India

MAC VU360 ECG | Medical Device Software
Contributed to UI modernization for the MAC VU360 ECG platform, a production-grade medical device used in clinical environments.
Led front-end migration from HTML to QML (Qt), improving UI responsiveness, performance, and maintainability.
Reduced UI latency and improved rendering consistency by leveraging Qt/QML best practices and optimized component architecture.
Worked closely with C++ backend modules to integrate UI changes, debug issues, and ensure seamless end-to-end functionality.
Utilized SQL for data validation and troubleshooting across system components.
Collaborated with cross-functional teams (UI, backend, QA, product) in a regulated medical software environment, ensuring changes met quality and reliability standards.
Actively participated in testing, debugging, and code reviews, contributing to stable releases and improved user experience.
Gained hands-on exposure to large-scale, safety-critical software systems, strengthening understanding of system interactions and engineering discipline.

C++QtUI ModernizationMedical Device Software