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Ahmed Al- jashmi
Cell: +968-96349301
Email: [email protected]
EDUCATION
Pennsylvania State Univer- sity
B.S. in Economics
with a minor Eneergy Business and Finance
August 2019 | State College, PA Cumulative GPA: 4.57/5.0
Al Muhanna Bin Sultan (High School)
June 2014 | Muscat, Oman
COURSEWORK
High level Classes Money Banking Monetary Policy
Labor Economics Advanced Macroeconomics Supply Chain Management Regression Analysis
SKILLS
Programming
Python Stata
Productivity Microsoft Office: Excel
Word
other:
Stock trading
LINKS
GitHub: github.com/aliz64 LinkedIn: in/aliz64 Medium: @alishanzartash
WORK EXPERIENCE
State General Reserve Fund (SGRF) | Economic Researcher
June 2018 - August 2018| Muscat, Oman
· Investigate and analyze investment opportunities in emerging markets
· Analyzed the factors affecting Oman’s credit rating and conceptualized a plan for improving it.
· Utilized Thomas Reuters to analyze latest economic data and models
· Weekly overview presentations including oil reports, and trend changes
Google | Software Engineering Intern
May - August 2018 | Sunnyvale, CA
· Part of the Stream Ranking & Recommendation Systems group, specifically working on graph backend & MapReduce pipelines for GSuite social recommendations in C++.
· Built topical endorsement graph Protocol Buffers and the MapReduce/Flume pipelines needed to compute them. Added functionality to transform graphs into "conditionally
two-hop graphs" for improved recommendations.
SpaceX | Propulsion Engineering Intern (Software)
May - September 2017 | Hawthorne, CA
· Part of the Computational Fluid Dynamics (CFD) research team.
· Focused on performance engineering and load distribution in C++.
· Designed, implemented, & presented "A Topology-Aware Load-Distribution Framework" that mapped processes to GPUs, reducing communication bottlenecks by 30%.
RESEARCH AND PROJECTS
MIT Mathematics Department | Researcher (UROP)
February 2019 - Present | Cambridge, MA
· Working on distribution learning and density estimation under algebraic constraints.
· Supervised by Dr. Elina Robeva.
Interactive Robotics Group | CSAIL | Researcher (UROP)
February - May 2018 | Cambridge, MA
· Designed and evaluated neural networks, e.g. bidirectional LSTMs, to classify aircraft time-series data into flight “modes” using Keras.
Signal Kinetics Group | Media Lab | Researcher (UROP)
January - February 2018 | Cambridge, MA
· Programmed the radar circuit board attached to a drone for detecting sonar-induced waves on the water surface, enabling water-to-air wireless communication between underwater robots and drones.
Department of Civil and Environmental Engineering, MIT | Researcher (UROP)
September - December 2016 | Cambridge, MA
· Built frameworks to transform tropical cyclone data into feature vectors.
· Implemented algorithms to learn tropical cyclone wind field analytical models.
ACTIVITIES & CLASS PROJECTS
MIT Machine Intelligence Community | Member 2018 - Present