Burhan T.

Background

About Burhan T.

A life-long learner passionate about continuous improvement, questioning assumptions, and realizing new ideas via AI/ML techniques. • 9+ years in Robotics & ML, developing mathematical modelling tools for sensing, estimation, prediction, and control for dynamical systems in a variety of industries (Flight Dynamics, Biomechanics, Robotics, Mining); • 6+ years building and deploying industry-leading products on embedded systems for sensing, system identification, prediction, and control of robotic systems; • 2+ years leading a technical R&D team of multidisciplinary engineers and mentoring co-op students. Areas of Expertise:+ Machine Learning: Generalized Linear Models (Regression, Classification), Gradient Boosted Trees (Regression, Classification), Clustering, Anomaly Detection (scikit-learn, TensorFlow, Keras, xgboost)+ Convex & Nonlinear Optimization (scipy, NLopt, active-set, interior-point, SQP)+ Physical modelling & simulation (multi-body dynamics, musculotendon and musculoskeletal dynamics, mining shovel & excavator dynamics, aircraft dynamics, vehicle dynamics)+ Linear & Nonlinear System identification (data-driven & frequency domain techniques)+ System analysis & Model-based prediction + State estimation & Sensor fusion (EKF, UKF)+ Controller design - optimal, robust, adaptive, nonlinear; PID, LQR, MPC + Digital controller design & implementation for embedded systems (Python, MATLAB, C++)+ Data Acquisition and Analysis (numpy, scipy, pandas)+ Digital Signal Processing (scipy)+ Data Visualization (matplotlib, plotly)