Résumé    

Experience

Qamous.org

Lead Developer
January 2023 – Present

• Engineered using ReactJS, TypeScript, NestJS, Sass, MySQL, TypeORM, Docker, Jest; delivering a 91% performance score
• Planned and executed the deployment strategy using AWS: Leveraged ECR and ECS for backend and database deployment, ensured secure API access via ALB with HTTPS, and integrated Amazon EFS and S3 for scalable logging and data backup
• Designed and incorporated a secure authentication strategy with bcrypt, Express, and Passport.js to safeguard user credentials
• Scraped language data, implemented RESTful APIs and integrated React Query for seamless front-to-back data communication

eClinical Solutions - New York, NY

Full Stack Software Engineer (AI/ML Team)
December 2022 - September 2023

• Integrated and deployed AWS S3 AI/ML models, performed SQL migrations, and optimized query performance by 10%
• Applied OOP principles and .NET front-end development expertise to resolve over 15 complex bugs within tight deadlines using Angular and TypeScript, reducing overall system downtime and enhancing user experience
• Designed and implemented over 20 new features based on market research and collaborated in an Agile Scrum framework
• Developed and maintained backend APIs, executed software restructuring, and drove implementation of key features using C#

Columbia University - New York, NY

Application Systems Developer (Part Time)
June 2022 - December 2022

• Performance-tuned the Directory of Classes system and developed a new system, decreasing update runtime by 83% using C
• Tested the performance and reliability of the new system using python and bash, contributing to the system’s data accuracy
• Prepared UNIX shell scripts for end-to-end testing of applications, ensuring system stability for over 4,000 students and staff

Wayfair - Boston, MA

People Analytics Co-op
December 2021 - June 2022

• Selected as Co-op Captain: created and facilitated events for hundreds of co-ops fostering engagement and community-building
• Generated complex analytics SQL queries for Google BigQuery and DataStudio to answer stakeholders and created query writing & optimization resources, allowing less technical employees to dedicate over 25% more time towards client meetings
• Automated various team responsibilities including the processing time reduction for a regular daily operation by 68% using BigQuery and eliminating a 16 hr/month data-extraction task & a 6.25 hr/month employee data cleanup task using Python
• Presented data analyses and insights to leadership and identified enhancements for recruitment and candidate experience
• Programmed a Slack chatbot saving employees valuable hours finding time-sensitive resources

Education

The University of Texas - Austin, TX

M.S. Artificial Intelligence
August 2024 - August 2025

Northeastern University - Boston, MA

B.S. Computer Science with a concentration in Artificial Intelligence
September 2019 - August 2022

• Resident Assistant: fostered relationship development among over 100 students and planned staff meetings
• Relevant Coursework:
  • Information Retrieval – web indexing, crawling, and implementing an Elasticsearch-based search engine
  • Foundations of Artificial Intelligence – deploying Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM) models using PyTorch and Scikit-Learn
  • Machine Learning I – regression, classification, decision trees, hypothesis testing, Naïve Bayes, Kmeans clustering
  • Software Development – Git, JSON, Test-Driven Development, unit testing, GUI testing, pair programming
• Outreach Coordinator, Research Assistant: updated website, migrated professor resources, and analyzed mice dMRI images