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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