Started new initiatives that supported the team's long-term vision

Helped the team improve operational excellence by automating deployment and production tests.

Uncovered production bugs by stress testing services (>10k requests per second)

Responsible for developing new processes and procedures as needed, in order to improve team efficiency.

Worked on highly ambiguous projects that needed cross-disciplinary collaboration.

Shipped a cloud-based computational backed that is used by all of the customers.

Planned and designed algorithm components by understanding customer needs. Made quick iterations with users/customers.

Took ownership of internal engineering tools, aiding the company long-term by streamlining data collection.

Deployed algorithms for commercial usage that handle numerical computations end-to-end (Keras, TensorFlow, and TensorFlow lite).

Interviewed possible candidates for algorithm development engineer, research scientist, and machine learning engineer roles.

Designed algorithms used on several hardware platforms from the ground up by collecting and preprocessing raw sensor data in an embedded environment, training and tuning hyperparameters in the cloud, and running models on iOS devices.

Developed IMU (inertial measurement unit) and AHRS (attitude and heading reference system) algorithms utilizing tools such as deep learning (DNN - deep neural networks, CNN - convolutional neural networks, RNN - recurrent neural networks, LSTM - long short-term memory), conventional machine learning (logistic regression, decision trees, random forests, boosting, bagging, SVM - support vector machine), Kalman-filter and other DSP (digital signal processing) tools.

Designed the sensor (gyroscope, accelerometer, and magnetometer) calibration protocol, including the in-factory tests.

Involved in the creation of an in-house visual-based advanced motion capture laboratory.

Had actively participated in company research related to sensor fusion, deep and machine learning, and motion tracking with an interest in filing IP rights for the aforementioned research topics.