• Published two research papers analyzing the impact of technical debt on software maintenance
• Resolved version conflicts in a large-scale Java system through reflection, reducing runtime for processing 1 million
methods by 85%
• Developed an SQL script to extract over 1,000 robotic-related questions, generating a dataset for future research
• Generated over 20 data visualizations using Matplotlib and conducted data analysis using pandas, crucial in
highlighting key findings in the research papers
• Implemented unit tests using pytest to ensure the reliability of research results, covering over 90% of the results
• Upgraded a 2,500-line codebase, adding the ability to detect technical debt in Java projects and improving usability
for ongoing software maintenance

Tutored over 15 different students in varying levels of education, from elementary to AP courses
• Students regularly tutored by me got an average of 90 in the respective course due to effective teaching
• 100% satisfaction by students in terms of teaching performance and engaging sessions
• Demonstrated effective communication by simplifying complex concepts into understandable concepts
as well as talking to both students and parents to tailor the study sessions

Boosted team win percentage by more than 50% through organizing weekly practices
• Developed meaningful connections with players, enabling personalized coaching and drills tailored to their needs
• Worked with fellow staff and players in coaching summer camps designed for beginners at sledge hockey

Worked on the finishing touches of new houses such as installing fences, pathways, and garden beds
• Increased number of projects by 25% per month by working efficiently and ensuring high quality
• Worked effectively in groups of people by communicating effectively to ensure projects were at high standards

Part of the team that prepared for the annual conference where scholars from over 8 different countries attended
• Fundraised over $20,000 and more than $25,000 in pledges for the running maintenance of the building
• Created a warm and welcoming atmosphere for guests, providing a memorable experience
• Managed a team of volunteers to do various tasks for guests such as food catering and living accommodations

• Developed an online application enabling users to quickly verify the halal status of E-Codes and access detailed
information, reducing time spent manually by over 70%
• Used Python to convert PDF of E-Codes to JSON to get their relevant information and check if they are halal
• Used JavaScript to handle user input and fetch the relevant information about the E-Codes, displaying the
information in an aesthetically pleasing card format
• Simplifies the process of deciding if an E-Code adheres to an individual’s dietary guidelines

• Developed an advanced language learning app that transcribes, translates, and highlights audio content in
real-time, allowing users to learn new languages
• Implemented language-learning tools such as text syncing with audio, integrated dictionary, and saving words
• Aligned text in two different languages, enabling users to compare and learn more quickly and efficiently
• Implemented caching mechanisms to store transcription and translation files locally, reducing processing times by
over 95% for previously accessed files

• Published two research papers analyzing the impact of technical debt on software maintenance
• Resolved version conflicts in a large-scale Java system through reflection, reducing runtime for processing 1 million
methods by 85%
• Developed an SQL script to extract over 1,000 robotic-related questions, generating a dataset for future research
• Generated over 20 data visualizations using Matplotlib and conducted data analysis using pandas, crucial in
highlighting key findings in the research papers
• Implemented unit tests using pytest to ensure the reliability of research results, covering over 90% of the results
• Upgraded a 2,500-line codebase, adding the ability to detect technical debt in Java projects and improving usability
for ongoing software maintenance

• Developed a Python web scraper to extract specs for 500+ laptops from multiple e-commerce sites, automating
data collection and improving efficiency by 60% compared to manual browsing
• Enhanced search performance by eliminating redundant operations, leading to a 60% reduction in search time
• Implemented custom headers, user-agent rotation, and referrer settings to avoid bot detection, ensuring
uninterrupted data extraction
• Designed an interactive and responsive table using HTML, CSS (Bootstrap), and JavaScript to display laptop
specifications, improving user experience with advanced search and sort functionalities