Himangshu Borah is an Applied Scientist based in Seattle with a decade of experience building production ML and data systems, currently focused on NLP and large language model applications at Amazon. He progressed from hands-on browser and data-collection engineering to designing large-scale data processing and modeling pipelines for Amazon Assistant, blending strong C++ and backend roots with modern ML practice. His background includes cloud rendering and low-level browser work at Samsung and practical ML deployments during industry internships, giving him a rare mix of systems-level engineering and applied research. Academically trained with a strong CSE foundation from NIT Silchar and an MS in Computer Science (Data Science) from NC State, he pairs rigorous theory with production-grade implementation. Though his public GitHub activity is currently limited, his repository history contains select past projects that reflect production-ready work rather than hobby demos. Colleagues would describe him as an engineer who moves fluidly between algorithmic modeling and the engineering required to ship robust, scalable services.
10 years of coding experience
8 years of employment as a software developer
Master’s Degree, Computer Science, Data Science Track, 3.89/4, Master’s Degree, Computer Science, Data Science Track, 3.89/4 at North Carolina State University
Bachelor’s Degree, Computer Science and Engineering, 9.35/10.00, Bachelor’s Degree, Computer Science and Engineering, 9.35/10.00 at National Institute of Technology Silchar
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