Abhijeet Mulgund is a software engineer and current Mathematics PhD student with a decade of experience building scalable backend systems, most recently maintaining Scala services at Domino Data Lab. He combines strong foundations in computer science and mathematics from Rice University with hands-on expertise in Python, Scala, and C++, and a sustained interest in machine learning and data science. His internships at Google and Facebook produced production-scale systems—from a C++ MapReduce pipeline for Dynamic Search Ads to a FastText-based clustering algorithm that identified technologies across millions of SMB websites. He has also prototyped deep learning NLP models for legal tech and achieved strong empirical results in sentiment classification, demonstrating an ability to translate research into impactful products. Based in Houston, Abhijeet brings both academic rigor and product-focused engineering to complex data and backend problems, and his background in founding and growing tutoring ventures hints at entrepreneurial initiative and leadership beyond code.
10 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Computer Science, Mathematics, Statistics, GPA: 3.74/4.00, Bachelor’s Degree, Computer Science, Mathematics, Statistics, GPA: 3.74/4.00 at Rice University
High School, High School at Centerville High School
Contributions:145 pushes, 4 branches in 4 years 1 month
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