Nihal Pai is a software engineer with 8 years of experience who builds robust genomics platforms and data pipelines, currently contributing to translational analysis operations at the Broad Institute. He blends front-end UI/UX design and back-end engineering—having built scalable microservice frontends, resilient Node.js APIs, and automated testing suites—bringing a strong product-focused mindset to scientific software. His background spans startups, enterprise internships, and research-adjacent roles, giving him a knack for turning complex datasets into usable visualizations and interfaces. Trained in computer science at Tufts and experienced internationally (including a semester in Budapest), he pairs disciplined engineering with creative problem-solving rooted in prior UI/UX and data science work. Less obvious: his early leadership as a platoon sergeant cultivated operational rigor and training-first instincts that now inform how he documents, tests, and hands off critical code.
8 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Magna Cum Laude, Bachelor’s Degree Magna Cum Laude at Tufts University
Semester Abroad Computer Science, Semester Abroad Computer Science at Budapest University of Technology and Economics
Berklee College of Music Summer Programs Guitar Sessions, Berklee College of Music Summer Programs Guitar Sessions at Berklee College of Music
International Baccalaureate (IB) Diploma, International Baccalaureate (IB) Diploma at UWC South East Asia
McCormick School of Engineering - Master of Science in Design Innovation, McCormick School of Engineering - Master of Science in Design Innovation at Northwestern University
Kellogg School of Management
Data Engineering for Analytics to Solve Business Challenges (CSCI E-103 Graduate-Level), Data Engineering for Analytics to Solve Business Challenges (CSCI E-103 Graduate-Level) at Harvard Extension School
Contributions:8 commits, 7 pushes, 1 branch in 1 year 10 months
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