A highly motivated and innovative mind with a First Class Honors B.Eng. degree in Electrical and Electronics Engineering and a High Honors Masters degree in Mobile, Autonomous and Robotic Systems. Open to roles in the fields of Robotic Process Automation (RPA), Quantitative Finance (QF) & Machine Learning (ML) with 2+, 2+, and 5+ years of experience respectively in each.As an RPA developer, I distill thought and work processes into atomic and actionable steps (Algorithm Development). These algorithms are then converted into Python or C++ (or both using Pybind11) codes for execution by a machine.As a Quantitative Finance developer, I have applied the principles of mathematics, statistics and probability to the development of winning trading strategies and systems. I have a keen skill for developing user-friendly trading interfaces to support human-supervised trading activities.My Machine Learning mastery spans across the board, from:The implementation of Machine Learning Algorithms for Regression, Classification & Clustering; toThe application of Deep Learning in Computer Vision & Time Series Analysis; and finally toThe application of Reinforcement Learning in solving real-world problems that entail teaching an agent to get better at a task by rewarding it appropriately for actions taken in a simulated environment per the observed state.I'm adept in the use of:Numpy for Scientific Computations in N-Dimensions,Pandas for the handling and processing of Data,Numba for accelerating Scientific Computations in Python,Tensorflow for Deep Learning, &Pybind11 for speeding up otherwise slow Python functions.My other skills include implementing heuristic optimization and iterative numerical algorithms respectively. The 'projects' section of my profile has a lot to tell you.
