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| \title{ | |
| TAWFIQ MOHAMMAD | |
| } | |
| \author{ | |
| $+1(770) 652-6679 \diamond$ Atlanta, GA \\ tawfiqfm@gmail.com $\diamond$ LinkedIn $\diamond$ tawfiqmohammad.me | |
| } | |
| \section*{EDUCATION} | |
| Georgia Institute of Technology | |
| Major: B.S. in Computer Science, GPA: 3.87/4.0, | |
| August 2020 - December 2023 | |
| Relevant Coursework: Computer Networks, Data Structures and Algorithms, Deep Learning, Compilers, Robotics, High-Performance Computer Architecture, Operating Systems, Advanced Algorithms, Processor Design | |
| TECHNICAL SKILLS AND ADDITIONAL INFORMATION | |
| Technical Skills: Java, JavaScript, ReactNative, Go, Python, Django, SQL, Flutter, C/C++, Assembly | |
| Languages: $\quad$ English (native), Arabic (fluent), Spanish (intermediate) | |
| \section*{EXPERIENCE} | |
| May 2023 - Aug 2023 | |
| Software Engineer Intern | |
| New York, NY | |
| - Led the development and successful launch of a user-friendly star rating smart chip for Google Sheets, now available to millions of users. | |
| - Utilized my expertise in Java and Javascript to discuss and formulate the design and implementation approach of the smart chip | |
| - Participated in quality assurance testing for the smart chip, incorporating feedback to optimize its behavior and functionality | |
| May 2022 - Aug 2022 | |
| Software Engineer Intern | |
| Seattle, WA | |
| - Conceived and implemented a robust deployment completion classification procedure involving the cleaning and processing of over two years worth of deployment data using intricate SQL queries | |
| - Developed deployment completion projection formulas and calculated projections using Go | |
| - Led the design and implementation of a dynamic and interactive visualization dashboard using HTML, CSS, and JavaScript, serving as a key tool for over 100 users monthly | |
| Georgia Tech Stadium-IoPT | |
| Aug 2021 - Jan 2023 | |
| Machine Learning Engineer | |
| Atlanta, GA | |
| - Collaborating with a cross-functional team of two engineers and a project manager to develop a cutting-edge football play classifier using spatio-temporal analysis techniques | |
| - Utilizing Python and Tensorflow for advanced data processing, modeling, and analysis, thereby creating a football play classifier with $\mathbf{8 3 \%}$ accuracy | |
| \section*{PROJECTS} | |
| \section*{SustAIn: Hackathon Project} | |
| - Built a social media platform to promote sustainable habits using Django, SQLite, Bootstrap, and GPT-3.5. | |
| - Users can create and join challenges made by GPT-3.5, track their progress on a map, and see their friends' completed challenges on the feed | |
| \section*{Compiler Design} | |
| - Designed and developed a Compiler in Python that performs static analysis and code optimization of Tiger-IR | |
| - Uses optimization techniques such as redundancy elimination, instruction scheduling, and register allocation | |
| - Performs MIPS32 code generation from Tiger-IR and control-flow analysis based on LLVM |