Working at the MIRRORLab in collaboration with PEERbots researching teleoperation interface design for robots used in therapy for children with autism.

Redesigned and developed Introduction to Machine Learning course including course handouts, lectures, exercises, case studies, and exams. Lecture style following Edward Tufte's presentation guidelines. Instruct Introduction to Machine Learning (graduate and undergraduate levels) with ~140 students (Fall 2018 - 4.09 rating), ~160 students (Fall 2019 - 4.20 rating), ~80 students (Fall 2020), and ~40 students (Spring 2021).Taught a semester (Fall 2017) of Introduction to Computer Science to one section of about 60 students out of six sections with provided materials from the course primary instructor.

Led a subteam of the MInDS@Mines research team of several undergraduate researchersResearch:Conduct research leading a team of undergraduate researchers in machine learning, specifically the areas of multi-modal learning, multiple instance learning, and feature learning applied to natural language processing, medical image computing, and robotics.Apply test-driven development standards to conduct test-driven research; asserting machine learning algorithm convergence and results consistency.Several published papers in conference proceedings and journals.Applications:Applying machine learning research methods to better understanding the gut microbiome, additive manufacturing, and detecting geospatial trends.Clients/Collaborations: Danone, ADAPT group, CASERM group.Team AdministrationSet up team onboarding procedure including a git training to familiarize new members with team procedures.Set up weekly meetings with subteam and use GitLab for task management and code sharing. Design, develop and maintain team website available at minds.mines.edu.

Developed applications of machine learning to classify maintenance logs, translate content in augmented reality, create a security system, and develop initial map labels. - Automated initial maintenance log classification using machine learning through Amazon Comprehend. - Built prototype of augmented reality system to label objects and translate text using Google Cloud AI. - Built a security system using computer vision technologies provided by third party partner on top of BLK 247's. - Created initial prototype of map labeling software from drone imagery. - Presented an introduction of machine learning tools and capabilities to an audience of diverse technical abilities.

Developed prototypes to examine effectiveness of identifying customer narratives.- Assisted Data Science team with algorithms' computational efficiency improvement reaching a 60\% duration decrease in one case.- Developed supervised learning functions as part of a library to build a custom implementation of auto machine learning. - Conducted clustering experiments (unsupervised learning) to determine individual effects of features on narrative identification and compare different dimensionality reduction methods for data visualization. - Built minimum viable product to easily test and receive feedback on upcoming features, mitigating unnecessary time spent by Engineering on unwanted features. - Redesigned Data Science team's software architecture and integrated with Engineering team's planned microservices architecture.

Collaborating with a remote team to develop powerful social media platform using multiple technologies including PHP (Nette Framework), JavaScript (node.js and Express) and Java.Started as a 3-month internship.• Developed Twitter bot to respond to tweets with attached image and link based on customer requests.• Completely redesigned core external analytics pages to increase user conversions as well as pricing and trial structure to ensure users experience the capabilities of the platform.• Managing multiple interns and assisting them with any difficulties as they arise

Assist with all components of product import process; selecting new products to import, planning future shipments, pricing and distribution to retailers. Main focus is on pricing products, collecting sales data, forecasting annual profits and sales, and preparing financial reports to partners. • Successfully pitched products to potential retailers, expanding market reach to North Coast customers as well as Greater Cairo region. • Create pricing model for 24 products to include risk mitigation of currency exchange rate fluctuations.• Prepare financial reports of forecasted sales and profit based on past sales to assist with planning quantities ordered in future shipments.• Conduct comparative assessment of products to calculate ROI of each product as well as expected sales to evaluate future investment in products, ensuring full potential is reached while minimizing the number of unsold products.• Present expected profit based on currency exchange fluctuations and potential sales to accurately set partners’ expectations for upcoming year.

Played an active role in every step of the development cycle of a complex e-commerce and philanthropy platform. This includes requirements development, design and UX, customer testing and feedback gathering, feature prioritization, database modeling, product documentation, agile development management, testing, and deployment.• Assisted management with defining minimum viable product (MVP) by reducing initial feature set by over 50%.• Developed initial UX screen flow, wireframes and product requirements. • Collaborated with designers and UX expert to produce a simple interface for customers.• Set up and utilized sample designed app demo, in Invision, to capture customer feedback. • Worked with Technical Architect and CTO to define database structure, relationships, and API endpoints to efficiently develop MVP while allowing for simple development of predicted future features. • Documented requirements for developers as well as managed product development. • Set up and managed GitHub, Atlassian, Trello, InVision, Google Apps, Google Analytics and Zendesk .• Introduced Lean Startup to founders then combined their knowledge of Lean with Agile software development to reach efficient process throughput. • Wrote test cases and lead QA team in verifying the developed product with the requirements specifications.

Responsible for developing model and simulation of solar power plant. Learned company research on solar power generation simulation and developed software to automate simulation results. For more scalability with customers, ported software to the web. • Documented and clearly defined research so that modeling could be easily reproduced and new employees could be brought up to speed faster. This includes Physical, Functional & Operational Architectures.• Modeled technical & financial daily statistics of 25-year desert agriculture project (Python).• Created MS Excel interface for end users to enter inputs and view outcomes from the model.• Examined live project site to verify understanding of technical capabilities of the modeled system.• Learned PHP then developed web interface and connected it to the model.

Collaborated with colleagues on community outreach effort using a variety of social networking websitesHandled web development and content for new targeted (Wordpress) and legacy (Omniture) websites