I enjoy solving problems and I especially enjoy trying to find the most efficient algorithms with which to solve them. I am constantly thinking about ways in which to make my code more robust and elegant while maintaining its readability. I also enjoy working with large data sets and using efficient algorithms to scrape, refine and read
I enjoy solving problems and I especially enjoy trying to find the most efficient algorithms with which to solve them. I am constantly thinking about ways in which to make my code more robust and elegant while maintaining its readability. I also enjoy working with large data sets and using efficient algorithms to scrape, refine and read information from all sorts of datasets.
In the past, I have worked with water-data to visualize the demand and supply of water in the world. In the summer of 2012, I worked on analyzing gigabytes of numerical data from the Hubble Space Telescope in an effort to detect previously undiscovered scientific information within them. My junior thesis involved writing code to model the shape of the Milky Way and then match this model to observations. In the summer of 2013, I worked as a software development intern at Enthought Inc., where I have had the opportunity to sift through over 150GB of 2D and 3D image data in order to compute and visualize various statistics that pertained to them. This was done in order to detect, understand and find ways to correct any underlying abnormalities. Currently, I am working full-time as a Software Development Engineer at Amazon where I have have written both front-end and back-end code and also worked on software testing.
When not writing programs or working with different data-sets, I enjoy reading, cooking, teaching my peers, watching documentaries and having delightful conversations with my friends.
Software Development Engineer @ During my time at Amazon, I have been working with a team of create a self service website that will allow Amazon to seamlessly expand and onboard new businesses all over the world. This project has allowed me to experiment with a range of programming languages and technologies. Specifically, I have
* Created REST-ful APIs in Java for querying SQL databases for use by the internal website.
* Worked on performance improvements and bottleneck identification.
* Developed extensive unit and integration tests for code using RSpec, JUnit and Amazon's internal testing tools.
* Performed manual and automated UI testing.
* Developed a scaleable and asynchronous solution using Ajax to the problem of downloading, editing and uploading up to 2GB of accounting data through the website.
* Worked with fellow engineers, project management and designers to state project requirements, update work estimates, prioritize the most important features and correct our course if the circumstance required it.
In addition to this, I have also worked on trouble shooting various operational issues that were related to the software that my team owned at the time. This was done as part on my on-call duties as a Software Engineer at Amazon. From July 2014 to August 2015 (1 year 2 months) Award Peer Tutor @ Courses Taught: Functions & Calculus (I/II), Linear Algebra, Differential Equations, Planetary Astronomy
• Help students understand challenging concepts in a one-to-one and group setting.
• Provide hints on homework problems and reflect on mistakes made in past examinations.
• Understand students's concern about school work and provide suggestions for improvement.
• Discussing tutoring strategies with other tutors at weekly meetings From October 2012 to May 2014 (1 year 8 months) Teaching Fellow @ Course: Introduction to Computer Science Using Java
Section Size: ~ 19 students
• Led 1-hour long weekly sections to go over course material with students, do practice problems and answer questions.
• Responded to queries regarding homework and course material via email, discussion boards and in person.
• Graded and provided feedback to students on homework and exams. From September 2013 to January 2014 (5 months) Software Development Intern @ • Developed code to analyze images of core segments extracted from the ground for Royal Dutch Shell PLC.
• Wrote Python programs to efficiently compute statistics on over 150 GB of image data.
• Improved the efficiency of image processing programs by 360% by using NumPy.
• Analyzed pixel intensity histograms in order to detect and filter out poor data.
• Used Scikit-Image to enhance the contrast of images for better quality.
• Tested code to detect any variations in efficiency and quality of the required output by using various different data sets as inputs. From May 2013 to August 2013 (4 months) Austin, Texas AreaData Quality Assessment Intern for the Hubble Legacy Archive @ • Analyzed hundreds of numerical catalogs of Hubble Space Telescope images to find problems in the data extraction algorithms that are used on the images
• Developed methods to resolve these deficiencies with a team of eight astrophysicists/programmers.
• Analyzed 40 million data records and identified the 0.001% of the data sets that contained recurring abnormal physical phenomenon; sought physical explanations to such behavior with a team of three astrophysicists.
• Testing the user interface of the Hubble Legacy Archive and comparing it to others (SDSS, Spitzer, MAST) and making suggestions on improving usability. From June 2012 to August 2012 (3 months) Junior Research Partner: “Bubbles, Feedback and Activity in Galaxy Clusters” @ • Gathered data related to the properties of a sample of two hundred elliptical using online tools.
• Visualized the above to understand physical properties of the galaxies and find outliers. From October 2011 to July 2012 (10 months)
A.B, Computer Science with Astrophysics (Secondary) @ Harvard University From 2010 to 2014 Beaconhouse School System Rabeea Ahmed is skilled in: Python, C, Research, Microsoft Office, OCaml, Data Visualization, Blogging, Java, HTML, Processing, Mathematica, Proposal Writing, Image Processing, Web Development, MySQL
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