Experience
Education
Northeastern University (Jan. 2024 – Present)
Master of Science in Information Systems (Computer Software Engineering)
Relevant Coursework: Program Structure & Algorithms, Web Development & UX, Application Engineering, Data Management & Databases
Johns Hopkins University (Aug. 2022 – Aug. 2023)
Master of Science in Education (Educational Technology)
Specialized in VR-based Learning, Interactive Web Technologies
Relevant Coursework: Gaming and Simulation, Emerging Issues in Digital Age, Technology and the Science of Learning
University of Nottingham (Sep. 2018 - Jul. 2022)
Bachelor of Arts in International Communications (Digital Games)
Relevant Coursework: Digital Games and Media, Web Design and Social Computing
Internships
Software Engineer DeepForth (Jun.2024 - Aug.2024)
Designed and integrated RESTful APIs using Node.js and Express, for JWT authentication, progress tracking, data orchestration and content personalization for 1k users. Collaborated with cross-functional backend engineers to distribute requests reduce latency from 1s to 10ms with AWS ElastiCache, SNS and SQS.
Created 12 real-time data visualization components and 2 interactive dashboards for streamming, structrual, tabular data from 3 sources. Worked with education specialists during user acceptence testing for better usability.
Developed and maintained animated and accessible UI and component libiary using React.js, TypeScript, and Tailwind CSS, ensuring real-time first-time rendering and responsiveness
Instructional Design Assistant Johns Hopkins Bloomberg School of Public Health
Developed AI-powered chatbot using OpenAI API and Python for medical education Q&A system, implementing NLP techniques to handle domain-specific terminology with 85% intent recognition accuracy
Optimized VR training scenarios using C# in Unity with SteamVR, integrating adaptive learning algorithms that reduced skill acquisition time by 25% in clinical simulations
Designed data pipeline with Pandas to analyze 10,000+ learner interactions, developing predictive models to identify at-risk students with 92.359% recall rate
Award
Global Learner Award
Jan. 2024
Northeastern University