Tecnhical Consultant

• Feb 2023 - Present

DevOps Engineer

• Sep 2021 - Jan 2023

Full-stack Developer

• Jul 2021 - Jan 2023

Full-stack Developer (Capstone Project)

• Jul 2020 - Apr 2021

• Developing a web-based image diagnostic tool using PHP to minimize the time needed for pathologists to annotate and identify up to 32 potential issues found in digitized histo-pathological tissue slides• Building a workflow using Python, MySQL, and machine learning techniques to aid pathologists in cross-checking their tissue diagnoses with results from a pre-trained convolutional neural network• Designing an intuitive user experience and user interface using JavaScript and OpenSeaDragon to ensure that pathologists can efficiently annotate tissue samples on a slide viewer that hosts thousands of SVS files Show less

Machine Learning Engineer

• May 2020 - Jul 2020

• Collected, pre-processed, and augmented multiple datasets containing thousands of facial expressions to create a machine learning model that would effectively classify 5 human emotions• Designed two convolutional neural networks using Python, OpenCV, and AlexNet to identify human emotions from real-time video and audio inputs of various facial expressions, and combined predicted results using Bayes Theorem to achieve a final testing accuracy of 67%

Co-Founder, Grumble

• May 2018 - Sep 2018

Research Study Assistant

• May 2018 - Aug 2018

• Conceptualized and designed VRehab, a Unity-based VR/AR health application and gaming technology, using C#, Oculus Rift, and Leap Motion to accelerate stroke victim recovery by 26% through motor skill training • Researched the motor capabilities of stroke victims using Myo Armband and EMG sensors to visualize muscle groups activated in response to sensory feedback inputs (audio, visual, cognitive, haptic) - identified that 58% of stroke victims learned the best through audio-visual inputs • Composed and published an academic paper and distributed the VRehab health app across research labs, including Riken Brain Science Institute, Japan and IRI Unit Lab, and UAE University • Identified as the Highest Contributing Member amongst five founding members Show less

Application Developer

• May 2018 - Jul 2018

• Developed a proof of concept for an intuitive user interface using C# and A* path finding to simulate real-time drone flights and estimate damage costs in the event of collisions or accidents in any chosen destination • Collected open-source information on the landscapes and architectures of different cities and used Unity and 3D Mapbox to visualize and reconstruct them on the simulation platform • Developed a proof of concept for an intuitive user interface using C# and A* path finding to simulate real-time drone flights and estimate damage costs in the event of collisions or accidents in any chosen destination • Collected open-source information on the landscapes and architectures of different cities and used Unity and 3D Mapbox to visualize and reconstruct them on the simulation platform

Engineering Intern

• May 2017 - Aug 2017

FORWARD COLLISION WARNING SYSTEM• Designed a portable proximity sensor using Lidar and an HC06 Bluetooth module on an Arduino to alert vehicle drivers on their speed and distance from other vehicles and prevent collisions• Developed a speedometer app on Android studios using Java and XML to process and display sensor information on a mobile user interface

Engineering Intern

• May 2017 - Aug 2017

CHATBOT• Researched and analyzed existing products, functionalities, and capabilities of existing chatbots in themarket and created a superior chatbot compared to the competitors• Built and pre-processed a database that was used to train the chatbot in TensorFlow using C++ and Python