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| \title{ | |
| Nabeel Hossain | |
| } | |
| \author{ | |
| +1701-740-0406nhossain34@gatech.edu linkedin.com/in/nabeel-hossain | |
| } | |
| Education | |
| Georgia Institute of Technology | |
| Expected May 2025 | |
| Master of Science in Computer Science, Machine Learning | |
| Georgia Institute of Technology | |
| Expected May 2024 | |
| Bachelor of Science in Computer Science, Intelligence and System Architecture | |
| GPA: 4.0 | |
| \section*{Experience} | |
| Teaching Assistant, Georgia Tech College of Computing - Atlanta, GA | |
| - Debugged and graded assignments in C using GDB. Provided comprehensive feedback to significantly enhance students' understanding of systems level programming and problem solving strategy. | |
| - Facilitated lab sessions to review and answer questions on fundamental course topics using slides, example problems, and hands on demonstrations to over 40 students weekly. | |
| - Provided exceptional support and guidance to students in-person, virtually, and via discussion forums, promptly addressing their questions and concerns to create a highly conducive learning environment. | |
| - Improved efficiency in debugging, testing, and grading by a factor of 5 using python and Linux shell tools. | |
| Bits of Good, Georgia Tech College of Computing - Atlanta, GA | |
| Sept 2022 - Present | |
| - Developed, performed code reviews, and organized technical leadership for nonprofit development | |
| - Collaborated within a 9-member agile team structure, working closely with an Engineering Manager, a Product Manager, and a team of 4 developers to deliver high-quality projects | |
| - Directed project development by creating sprint tickets, prioritizing tasks and ensuring timely progress | |
| - Demonstrated strong technical expertise by reviewing pull requests, providing constructive feedback to fellow developers, and resolving merge conflicts promptly and effectively | |
| Projects | |
| Customer Churn Prediction | |
| - Predictive model for judging attrition rates for credit card customers given various features | |
| May 2023 - July 2023 | |
| - Collaborated with and coordinated tasks on 5-person team; utilized popular python data science and visualization libraries, such as NumPy, Pandas, PyPlot, and SKLearn | |
| - Conducted thorough data exploration, feature selection, and class balancing on dataset of 10,000 customers | |
| - Achieved 0.96 weighted f-1, 0.90 minority class recall after rigorous, documented model tuning and selection. | |
| Earthcraft | |
| Sept 2022 - Apr 2023 | |
| - Developed a NextJS 12 application backed by MongoDB and Azure Blob Storage, efficiently organizing a digital library of over 1,000 sustainable building standards to be taggable, searchable | |
| - Implemented a comprehensive solution for creating, searching, organizing, editing, and sharing standards, enabling clients to organize their information 3 times faster than before | |
| - Designed the innovative Report Builder Feature, allowing engineers to seamlessly generate project reports by combining multiple standards, images, and user notes. Accelerated productivity with one-link PDF sharing. | |
| - Utilized SWR for responsive UI updates and Server-Side Rendering for optimized loading speed. | |
| CleanUpCrew | |
| Apr 2020 - June 2020 | |
| - Developed a dynamic decentralized crowdfunding platform using NextJS, MongoDB, and Google Maps API. | |
| - Used aggregated geospatial data to design and implement a unique algorithm that can identify posts with the greatest potential community impact to prioritize to viewers | |
| - Crafted a sleek and responsive user interface, ensuring seamless user experience across various devices. | |
| - Coordinated frontend and backend tasks within a lean team of four, successfully delivering the project within an impressive 36-hour timeframe. | |
| Skills | |
| Languages: Python, Java, JavaScript, TypeScript, C, C++, HTML/CSS | |
| Frameworks: ReactJS, Node.js, Express.js, Next.js, Flask, SCSS, jQuery, Mongoose.js | |
| Technologies: SQL, MongoDB, LATEX, NumPy, Matplotlib, Pandas, Git, Linux and Windows CLI | |
| Coursework: Data Structures and Algorithms, Design and Analysis of Algorithms, Systems and Networks, Operating System Design, Machine Learning, Processor Design, Advanced Computer Organization |