Sasanka Uppu is a pragmatic software engineer with 11 years of experience, currently building observability features as a Software Developer 2 at Datadog. He combines a strong ML and data background—from emotion prediction and fake-review analysis in academic research to production-focused ML and microservices work at PlacePass—with full-stack engineering skills across Java, .NET, Python, and cloud platforms. Previously at Deloitte and in multiple research and startup roles, he has automated data pipelines, built API-driven integrations, and delivered web applications that solved real operational problems like pilot navigation and maintenance analytics. He holds a Master’s in Computer Science from Northeastern (GPA 3.72) and maintains a public project portfolio at his GitHub Pages site, signaling an ongoing commitment to practical, reproducible engineering. Notably, he blends research-grade NLP/ML experience with hands-on systems delivery—a combination that helps translate models into reliable production services.
11 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Manipal Institute of Technology
Master’s Degree, Computer Science, GPA: 3.72/4, Master’s Degree, Computer Science, GPA: 3.72/4 at Northeastern University
Contributions:28 pushes, 1 branch in 2 years 10 months
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