Matt Linder Email & Phone Number

Santa Clara, Ca, Us

Santa Monica, California, Us

Santa Monica, California, Us

* Worked with Founder to initialize strategy for OCR and NLP applications* Researched, prototyped, and built out machine learning approaches for text summarization

Sunnyvale, California, Us

* Successfully managed over 25 students to better-than-expected performance results, including national Royal Conservatory of Music awards for performance and matriculation at top Conservatory programs* Studied with world-class Suzuki teacher trainers, & trained 30+ families in Suzuki Method, a pedagogical framework that uses teacher-parent training and collaboration to facilitate early childhood education.* Specialized in working with students as young as 3

Palo Alto, California, Us

As a Machine Learning Engineer, I increased my fluency and adeptness by working on projects that:* Implemented and optimized multiple SOTA academic papers in Tensorflow 1 and 2, as well as PyTorch. Trained models on AWS EC2 + S3.* Used computer vision models to classify and predict Diabetic Retinopathy from fundus images and used Tensorflow's built-in suite of Data Augmentation tools to augment dataset and boost performance. Also created Grad-CAM heatmaps and used label propagation from unlabeled data to further augment dataset.* Implemented CycleGAN in TensorFlow Keras to augment autonomous drive datasets and add more nighttime images. * Compared performance results between conventional RNN, GRU, and LSTM models on sequential customer shopping behavior to predict sales. * Converted MobileNet image classification models to TensorFlow Lite and deployed on Flask and FastAPI frameworks, as well as on Amazon Elastic Beanstalk.* Used transfer learning to retrain an SSD/Resnet50 model to identify a new, novel class based on a new dataset of only 10 images.* Used polynomial regression to predict new COVID cases.* Used manual implementations of hypothesis functions, loss functions, stochastic gradient descent, and regularization to predict car sales in multiple markets.* After using Pearson correlation to select features, gridsearched and compared accuracy metrics for sales data between Logistic Regression, SVM, Neural Network,and normal/weighted/balanced Random Forests.* Applied DBSCAN on PCA-reduced data to cluster complex user-journey data and analyze user purchase behavior.* Compared results of TPOT classifiers on a smaller user-journey dataset to implementing label-spreading and running the same classifier on the subsequently augmented dataset.Plus a whole lot more.

San Francisco, Us

* Analyzed and refactored executive staff’s logistical processes to reduce menial/grunt work. * Built automation in SalesForce, Mailchimp, and Google Apps Script to eliminate redundant/unnecessary processes.

San Jose, Us

At Practice Space, I: * Worked with co-founders to refactor core product vision, strategy, and goals based on market/competitor research and user data.* Collected, organized, and analyzed user feedback and utilized those insights to revamp user onboarding flow, stack rank feature requests, and rebrand product features for clarity.* Built key user metric dashboards for Product/C-suite use

San Francisco, Ca, Us

Recorded audio and video (and occasionally produced) for concerts, recitals, lectures, master classes, and other events, as well as private recording sessions. Edited, mixed, and mastered audio and video for all of the above.Performed live sound duties for similar events.

Master'S Degree, Music - Guitar Performance

Bachelor Of Arts - Ba, Music