Urvashi Agrawal

I’m Urvashi Agrawal, a passionate and results-driven AI/ML Engineer and Full-Stack Developer from India. I thrive at the intersection of machine learning, data science, and software innovation, constantly turning ideas into impactful real-world solutions.

I’ve interned as a Machine Learning Engineer at okDriver Smart Dashcams, where I integrated lightweight computer vision models (YOLO, Haar Cascades, landmark detection) for edge devices like Raspberry Pi and Android. As an AI/ML and Data Science Mentor at SkillHigh Edu Technologies, I’ve guided students through projects, transforming complex AI concepts into practical implementations — strengthening my communication and leadership skills.

Beyond academics, I’ve been a winner in 5+ hackathons, including selections in the Google Girl Hackathon, and hold multiple first prizes for DSA and software projects. My projects, such as GitCare (a decentralized open-source funding platform) and YouTube Podcast CLI (a real-time YouTube data explorer), demonstrate my ability to build innovative, scalable systems blending AI, blockchain, and web technologies.

Technically, I’m fluent in Python, Java, JavaScript, and SQL, with hands-on expertise in frameworks like React, Next.js, Express.js, Docker, and Kubernetes. My problem-solving background, with 100+ LeetCode problems solved, reflects a strong grasp of data structures and algorithms.

In hackathons, I bring a mix of creativity, technical depth, and execution speed. I excel in ideation, MVP development, and pitching — making me not just a participant, but a team catalyst who transforms ideas into working, impactful prototypes.

I believe innovation happens when technology meets imagination — and I’m here to make that happen.