Summary
Dan Nedelescu is a software engineer with 11 years of experience, currently pursuing a Master's in Computer Science with a Machine Learning focus at Georgia Tech and based in New York. He brings practical full-stack and ML model development skills honed through internships at Datadog, MathWorks, and RANE, where he built production-ready tooling for logging, automation, and internal workflows using Python, Go, SQL, and cloud services. At Datadog he applied asyncio and custom runtime metrics to improve Azure integrations, and at MathWorks he shipped a web app tying SQL, OAuth, and Office365 automation into engineering rotations. Comfortable across testing, profiling, and data visualization, Dan has repeatedly delivered solutions that moved into daily operations and saved developer time. Outside of engineering he’s an active outdoorsman and rock climber who has backpacked in multiple parks—a persistence and risk-awareness that informs his practical approach to building reliable software.
11 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
High School Diploma, 12, High School Diploma, 12 at Massachusetts Academy of Math and Science