Mahsa Malek

• Tutored high school students in mathematics, helping them achieve higher grades and better understanding of a subject

Trained under the supervision of experts in Generative AI Techniques

• Began specialized training in 2024, focusing on Large Language Models (LLMs), their training data, and evaluation processes.
• Gained expertise in state-of-the-art (SOTA) generative AI techniques for collecting high-quality data, ensuring the robustness and accuracy of LLM outputs.
• Developed a strong understanding of public LLM benchmark datasets, including their structure and usage for model evaluation and comparison.
• Worked closely with industry experts to refine data collection strategies, contributing to the development of efficient, high-performing models.

• Building different frontend applications using React, TypeScript, and its ecosystem
• Delivering over 7+ both frontend and backend projects powered by the modern JavaScript stack including React, TypeScript, and Node.js
• Integrating RESTful API's, with a strong focus on client-side performance, and scalability
• Successful track record of delivering projects across the software lifecycle: design to implementation
• Collaborated with other developers in an Agile context, following software development best practices
• Expert level knowledge of modern JavaScript(ES6+) as well as Web Standards, HTML and CSS frameworks
• Focus on software development fundamentals, from SOLID principles to Object-Oriented Programming (OOP)
• Technologies: JavaScript, TypeScript, React.js, Redux, GraphQL, Node.js, Restful APIs, HTML, CSS, Git

• Led a team of software engineers in developing scalable web applications
• Provided technical consultancy to improve system architecture and development processes
• Implemented code quality, testing, and deployment best practices

• Developed a secure and user-friendly web-based STI self-testing platform using React and Node.js
• Provided an innovative alternative to traditional STI testing methods, addressing the outbreak in Alberta
• Technologies: JavaScript, TypeScript, React.js, Redux, GraphQL, Node.js, PostgreSQL, Git

• Worked on estimating pipeline flow rates using acoustic data
• Collaborated with a team to develop machine learning models and data pipelines

• Working on Explainability AI(XAI), including model agnostic tools and local Interpretable Model-Agnostic Explanations(LIME) to realize what parts of the interpretable input are contributing to the prediction
• I implanted this tool on one of the downstream tasks, Defect Detection, and realized the tokens had more effects on the source code(input) and their categorization
• Applied these tools to defect detection tasks in source code analysis

• Working on the project that was defined between Georgia Tech (USA) and IMT-Mines-Albi focusing on Black-Box Optimization in Dynamic Systems (Physics of Decision)

• Researched Industry 4.0 applications and the digitalization of manufacturing environments
• Worked on supply chain management and blockchain technology projects

• Conducted comprehensive data analysis to identify optimization opportunities in various systems and processes
• Developed and implemented algorithms to enhance operational efficiency and performance
• Collaborated with cross-functional teams to design and deploy optimization models and solutions
• Monitored and evaluated the effectiveness of optimization strategies, making adjustments as needed
• Provided technical expertise in the areas of optimization, machine learning, and data analytics

• In charge of guiding an educational or training division within a college, department, or significant operation
• Also, managing the creation and execution of one or more intricate educational or training initiatives
• Supervising the conception, development, and provision of education or training programs

• Discrete event simulation of the warehouse
• Developed an optimal policy to manage inventory
• Plant layout optimization by analyzing throughput capabilities, bottlenecks, and material routing