Subit is a remote sensing scientist on the data science team at TellusLabs. He previously worked as a researcher at the Center for Remote Sensing and the Computational Neuro-Engineering Laboratory at the University of Florida, where he developed novel machine learning techniques for spatio-temporal scaling of satellite imagery. At TellusLabs, Subit builds algorithms on processed satellite data and then visualizes the results. Outside of the office, Subit is also a professional photographer and recreational tour guide.
The transition from academia to the dynamic environment at TellusLabs was a challenging one for Subit. “I come from an academic background. There, you go deeper into the science, but it’s not as fast-paced. Here, there is something new every day--which is also very exciting.”
One of his greatest achievements at TellusLabs was helping to create the crop maps that drive the South American models in our product, Kernel. “It was challenging, and a very fast turn-around. But it was exciting to get the models up and running.” Currently, he is working on building a tool that can visualize quality metrics for all the data that TellusLabs generates across multiple geographies: "For global monitoring, that means ensuring that we can visualize all the data as a map and understand how it’s working.”
His favorite part of working at TellusLabs is the people. “It’s a really small team, so you get to know everyone. There are no work politics, because everyone knows everyone really well. I definitely feel like the team dynamics are different from regular industries, where you have a larger team but might not work as closely.”