Rashi Rathi
Software Engineer
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About
Engineering the future with intelligence—I'm a passionate Software Engineer and AI Developer dedicated to transforming the way we interact with technology. At the intersection of innovation, code, and cognition, I specialize in creating intelligent solutions that empower machines to become intuitive collaborators.
My journey has led me to develop cutting-edge AI agents and cloud-first platforms that redefine user experiences. From crafting immersive in-vehicle multimodal experiences showcased at CES 2025 to architecting smart systems that conserve millions of liters of water, I thrive on building software that speaks, adapts, and learns.
Core Competencies
- Generative AI & NLP: Leveraging advanced algorithms to create responsive and intelligent applications.
- Machine Learning: Designing models that enhance decision-making and user interaction.
- Development Practices: Expertise in CI/CD, Test Automation, and Agile methodologies to ensure high-quality software delivery.
Technical Proficiencies
- Languages & Tools: Python, C++, Java, GCP, Salesforce, Arduino, MATLAB, SQL
I am proud to have been recognized for winning the Smart India Hackathon 2022 and contributing to groundbreaking innovations in AI technology. As I look to the future, I am actively seeking opportunities in software development, AI engineering, and intelligent product innovation, where I can continue to push the boundaries of what’s possible.
Let’s connect and explore how we can shape the future together!
Experience
Visteon Corporation - Software Engineer
- Developed and integrated AI agents utilizing NLP and large language models (LLMs) for productivity, weather, and news features.
- Supported real-time ASR (Automatic Speech Recognition) integration and microphone interfaces using CognitoAI, demonstrated at CES 2025.
- Developed and deployed embedded software for Nissan vehicles across 7 variants, including navigation, audio, drive computer, and gauge cluster systems.
- Led CI automation using Testplicity, reducing manual testing by 50%.

