Ishraq Mohammed Email & Phone Number

Plano, TX, US

United States

• Led development of GenAI Assistant plugins, utilizing LLMs for personalized content understanding and recommendation.
• Coordinated with a team in applying Graph Neural Networks (GNNs) for financial risk assessment, resulting in a 27.4% improvement in predictive accuracy for investment portfolios and optimizing resource allocation.
• Engineered ML pipelines for user behavior analysis and content recommendation, boosting performance by 20%.
• Architected a cutting-edge summarization microservice using advanced NLP techniques, resulting in 25% faster content consumption.
• Spearheaded AI console development using AWS; enhancing user experience and efficiency.
• Leveraged AWS Comprehend for natural language processing, which improved term categorization speeds by 50% and accuracy in parent class suggestion by 92%

• Utilized Python libraries such as Pandas, NumPy, and SciPy for data manipulation, analysis, and mathematical computations, enhancing data-driven decision-making.
• Developed RESTful APIs using Flask and Django REST framework, enabling seamless data communication between front-end and back-end systems.
• Created and maintained databases using MySQL and MongoDB, writing complex SQL queries and stored procedures for efficient data management.
• Worked with relational databases like PostgreSQL to manage data storage and retrieval, optimizing query performance.
• Implemented containerization of applications using Docker and organized multi-container deployments with Kubernetes to ensure scalability and reliability.
• Performed data visualization and analysis using Matplotlib, Seaborn, and Plotly, turning raw data into actionable insights through compelling visual representations.

• Oversaw machine learning processes; optimizing algorithms to enhance system performance.
• Engineered a Natural Language Processing (NLP) model that accelerated code analysis and documentation speed.
• Employed statistical analysis and machine learning techniques to design risk assessment models, improving software quality assurance and reducing defect rates.
• Assisted in creating a deep learning model to detect irregularities in software development workflows and reduced project downtime.
• Implemented a scalable ML infrastructure with AWS SageMaker, decreasing model deployment time.
• Conducted A/B testing to refine machine learning models, achieving a 10% improvement in prediction accuracy for software performance and user behavior patterns.

Master Of Science - Ms, Computer Science

Bachelor Of Engineering, Electronics And Communications Engineering