Pallavi Gaikwad

Software Development Engineer @ Amazon |UC San Diego Alumni

Role: Software Development Engineer at Amazon
Location: Seattle, WA, US
LinkedIn followers: 500 followers

Information TechnologyView LinkedIn profile

About Pallavi Gaikwad

I am a fourth-year student at UC San Diego, pursuing a Bachelor of Science degree in Cognitive Science with a specialization in Machine Learning and Neural Computation and a minor in Data Science. I am an aspiring software engineer with strong programming experience in Python and data science related libraries. I excel in machine learning, data analysis, and statistical modeling. My strengths include leadership experience, working collaboratively in teams, and mentoring in technical subjects. I am passionate about social issues, and I am interested in projects at the intersection of data science, problem solving, and society.

Experience

Software Development Engineer
Amazon
Sep 2025 — Present · Seattle, WA, US

Education

UC San Diego
Bachelor of Science - BS, Cognitive Science spec. Machine Learning and Neural Computation

Contact information

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Current company

Amazon

Software Development · 10K employees · 2127 7th Ave., Seattle, WA, 98109, US

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

amazon.com

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