| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidate Candidate's Name
# EMAIL AVAILABLE LinkedIn GitHub H PHONE NUMBER AVAILABLE
Education
Drexel University - Philadelphia, Pennsylvania Graduation date: June Street Address
Bachelor of Science in Computer Science with a minor in Business Analytics GPA: 3.8 (Dean s list)
Experience
Ipipeline | Co-op September 2022 March 2023
R & D Developer Philadelphia, Pennsylvania
Enhanced functionality for 500,000+ agents by implementing C# features in 5 ASP.NET web applications.
Accelerated task completion by 70% by integrating robust APIs, transforming manual processes into user-friendly
experiences after consulting with non-technical stakeholders.
Optimized database performance, boosting data processing speed by 30% and reducing query times by 25% using SQL
Server and Entity Framework.
Neuroflow | Co-op September 2021 June 2022
Engineering Associate Philadelphia, Pennsylvania
Enhanced user experience by simplifying complex workflows with TypeScript/React (hooks) + Redux.
Contributed to all steps of the Agile software development life cycle including design discussions, point estimations,
and code architecture decisions.
Accelerated product delivery by creating and documenting 30+ reusable components, ensuring UI consistency
across teams.
Applied Test-Driven Development (TDD) principles to ensure high-quality, reliable code, achieving 98% code
coverage on all Merge Requests using Jest.
Mobelite | Co-op September 2020 March 2021
Full Stack Developer Monastir, Tunisia
Developed MobelitePlus app plugins using Flutter, contributing to a seamless user experience.
Centralized company data by developing a MERN stack analytics dashboard, reducing costs by replacing 5 analytics
services.
Boosted productivity by 50% through automated data exports into Excel sheets in the analytics dashboard, replacing
manual processes.
Projects
Vanguard s Thinking Beyond Rich User Interfaces | Python-React-AWS November 2023 May 2024
Built a google-like search interface that utilizes a Large Language Model (LLM) to answer client s questions by
inferring their intent instead of traditional keyword matches with less than 30% hallucinations rates.
Kaggle Home Credit Default Risk Problem | R March 2022
Developed predictive models including logistic regression, decision trees, and random forests to estimate loan
default probability for individuals with limited credit history, leveraging RStudio for data preprocessing and analysis.
Enhanced model accuracy through variable selection, addressing class imbalance via oversampling, and
iterative refinement, with the Random Forest model achieving the most significant improvement in predictive metrics.
Survey and Test | Java March 2022
Created a Java app for creating and grading surveys and tests with multiple question types.
Implemented design patterns (Singleton, Factory, Strategy) for managing surveys and grading algorithms.
Utilized TDD for robust functionality, with features for recording responses and grading Tests.
Skills
JavaScript, TypeScript MERN stack, Redux Flutter LangChain, ChromaDB
Python, Java, C# TDD, Jest Linux, Bash Bilingual
SQL, R, Entity ASP.NET MVC GitLab, GitHub (French/Arabic)
Relevant Coursework
Data Structures and Algorithms, Software Architecture, Artificial Intelligence, Machine Learning, Computer Programming,
Web Development, Programming for Data Analytics, Data mining for Business, Linear Models for Decision Making, Linear
Algebra, Probability and Statistics
|
