abuynits Goto Github PK

I'm Alexiy, a sophomore at Purdue majoring in CS and Math, currently interning at Armada AI, with an unbreakable caffeine addiction (even full-timers at SpaceX were concerned...).

I love learning anything new and learn best by getting my hands dirty. For me, the best feeling in the world is when something works/clicks after bashing my head against a problem for hours or even days.

In my free time, I touch grass (i know, shocking news). I love hiking / mountain biking, and finding excuses to visit coffee shops.

• Favorite Quote: "If you are not in pain, you are not learning." - Employee at SpaceX
• Second Favorite Quote: "Oooooh yea I dont like this problem. It came off a graduate qualifying exam. I put it on there just to torment people, even I don't know how to do it" - MA 453 Prof
• Favorite Coffee Shop: Mount Currie Coffee Co in Whistler B.C. (Philz Coffee is close second)
• Favorite Hike: Sahale Arm / Cascade Pass in North Cascades National Park
• Foreign Languages: Ukrainian, Russian, a bit of Spanish
• Favorite Book: The Martian by Andy Weir

Here's a summary of things I've worked on, feel free to reach out with any questions or just to say hello!

🧠 TE AI Cup github repo | dagshub repo | 4/19 Robotics and Intelligent Systems Expo Presentation

• Build standardized, trackable, reproducible framework with MLFlow and DVC
• Use and compare performance of LSTM, time-transformers, DeepESN, temporal fusion transformers, seq2seq at predicting time-series data
• Compare model performance from introducing new data features, changing data augmentation, and adding external indicators
• Final result: Achieve 83% accuracy at an 18-month prediction and 81% accuracy at a 76-week prediction

🔍Purdue x Google ML full project | maskformer configs | maskformer dataloaders, augmentation, video inference

• Build data pipeline for Maskformer and Mask2former using Google Deeplab and Tensorflow
• Generate, decode, and load TFRecords for panoptic segmentation from COCO dataset with Bash and Python
• Apply random-cropping and color jitter to images and masks, create project config and dataloaders
• Enable running inference on videos

🤖 Autonomous Robotics Club of Purdue full project | reworked rocket league sim | wiki

• Improve performance by randomizing training parameters using Rospy libraries and ROS on the autonomy stack
• Refactor simulator to better reflect real-world conditions by randomizing game object physics dynamics, tuning car properties, and simulating latency
• Implement multi-agent training

🐶 BoilermakeX Purdue Hackathon 1st place Dagshub Winner dagshub repo | Wiki |

• LSTM and seq2seq model that predicts specified air quality metrics using input and output features
• Built using Pytorch, with DVC and MLflow to allow for easy testing and augmentation

📝 Autograders cs240 | cs180

• Used Perl and Bash scripts to run testcases on homework for CS240 and CS180
• Prevented me from getting 0's on hw because of using "\t" instead of "      "

🗿📄✂ Tensorflow Rock Paper Scissors github repo

• Achieve >90% accuracy with 32k parameters for playing rock-paper-scissors
• Use a simplified VGG-19 architecture with data augmentation and inference on live images

LinkedIn | DagsHub