Avni Bafna

Associate Software Engineer @Pantheon

San Francisco, CA, US
EMAILS
a••••••••@pantheon.io
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Dec 2025 — Present

Associate Software Engineer @Pantheon

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US

EDUCATION

2021 — 2025

University of California, Davis

Bachelor's degree, Computer and Cognitive Science

2008 — 2021

St. Mary's School, Pune

High School Diploma Grade XII ISC

ABOUT AVNI BAFNA

I am a recent Computer Science and Cognitive Science graduate from UC Davis, with a solid foundation in Machine Learning, Software Development, and Technical Product Management. My journey through internships at QTS Data Centers, Shnorh, and EasyPay has not only honed my technical skills but also fueled my passion for innovation and problem-solving.At QTS Data Centers, I developed a machine learning solution to forecast battery cell failure, which significantly enhanced my skills in data management and model development. My time at Shnorh involved frontend development with React JS and contributing to a web3 blockchain-based API, refining my expertise in modern web technologies. As a Software Engineer at EasyPay, I specialized in backend API development using the Spring Framework, creating REST APIs and implementing secure payment solutions.In addition to my internships, I led the projects division at Neurotech@Davis, where I mentored teams in designing and developing brain-computer interfaces. This role deepened my understanding of MLOps and technical product management, and it was incredibly rewarding to innovate neurotechnology projects that push the boundaries of what\'s possible.Proficient in Java, Python, C, C++, and SQL, I am recognized for my strong communication, problem-solving, and leadership abilities. I am passionate about leveraging my skills to drive impactful projects and contribute to technological advancements. I am always eager to connect with like-minded professionals and explore new opportunities. Currently, I am looking for full-time positions in Software Engineering, Product Management, and Data Analytics.

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