AI Research Assistant, Remote
Prof. Mohamed Masoud
Total years of experience :1 years, 7 Months
Work on optimizing logistics of using drones for package delivery using AI/ML Solutions.
Summaries and search for research papers related to LLMs prompting techniques for highest performance.
Create simulated data for the drone’s journey planning.
Implement software solutions to feed the data to models and store the output in a well-organized structure.
Change tabular data format for a text-based template for LLMs prompting.
Investigate the possibility of using LLMs to solve optimization problems such as travel salesman problems.
Validate model responses using statistical techniques like the null hypothesis test.
Use the self-assembly technique to optimize LLM responses.
Proofread a computer science research paper.
Correct writing issues.
Write a literature review section in a research proposal for solving the traffic congestion problem in Riyadh, Saudi Arabia using AI solutions.
I implemented labelling algorithms, boosting the precision of data label positioning in charts and elevating readability metrics.
Improved chart rendering performance by 80% by optimizing the drawing algorithm for data series labels.
Implemented features, including dynamic font resizing and customisable data series label positioning, empowering users with greater control over chart interactions.
Participated in developing interactive visualizations using libraries such as D3.js and C3.js, elevating the quality and interactivity of data representation.
I created E2E and unit tests with the Nightwatch library.
Configure chart creation tool built with rechart.js package for a React.js Project.
