Hi I'm Sahil Modi, a student, an aspiring engineer, and above all, an adventurer. I study Computer Science at University of Illinois Urbana-Champaign, and when I'm not busy with school, I play basketball and play board games with friends. During the summer time I go hiking/biking with my friends and family. By far my favorite hiking spots have been Starved Rock State Park here in Illinois and Pipiwai Trail in Maui, Hawaii (scroll down to see a picture)!
Other than that, I enjoy eating food (like every other college kid), and trying new things. Even though I'm vegetarian, the number of options restaurants have suprises me! If you have any recommendations for food or hiking or anything really feel free to send me a message at the bottom :)
[Hip Hip] array! Thanks for visiting!!
Outside of the languages below I am fluent in Gujarati, Hindi, and of course English! In seriousness, I have extensive development in all of the skills below with percentage indicating length of exposure, development environment (professional, school, etc), and lines of code written.
I am attending University of Illinois Urbana-Champaign with an expected graduation date of May 2021. My current GPA is 3.95. Some courses I have taken:
I am pursuing an applied statistics minor. The foundation of machine learning lies in statistics and calculus, so a minor perfectly supplements my CS curriculum. For example, entry level machine learning applications involve random forest classifiers, bayesian inference, and support vector machines, which are all founded on statistical techniques.
I worked in a team of 10 people to improve frontend asset build times by about 20% and memory usage by 10% using modern minification techniques. I also designed a variant generation algorithm an order of magnitude faster for server built variants and client responsive variants.
I worked with a PhD student Arun, Professor Girish Chowdhary, and Professor Saurabh Gupta to create a vision-based approach for robot control. We trained neural networks to determine robot heading and lateral pose from monocular video.
I worked in a team of full time employees and other interns to support various programs including Infrared Counter Measures and algorithm simulation. I have worked extensively with C# to replace a legacy tool, decreasing process time by 30% and reducing customer defects by 50%.
EarthSense is an AgTech startup focusing on creating autonomous robots that can accurately phenotype acres of land in a day. I focus on developing and maintaining computer vision algorithms to determine stem count, plant height, stem width, etc. In particular, I developed a Convolutional Neural Network with TensorFlow to detect individual stems from a video feed with 96% accuracy.
Swarm Robotix is a robotics startup that's developing MACJac technology, a set of robots that will autonomous move shipping containers in a port environment. I Worked in a team of 5 people to design software architecture ffor swarm behavior and collaborated with 2 people to develop vision algorithms with OpenCV that detected corner castings.
DASLab (Distributed Autonomous Systems Laboratory) is a UIUC research group that, in conjunction with EarthSense, focuses on improving Terrasentia (a fully-autonomous robotic system that phenotypes a plot ofcrops). I worked with systems integration to write scripts that would automatically update individual robots to the latest software. I also created a user-facing robot configuration page on Android.