Abdul Kareem Arbaz

Professional Summary

Passionate and motivated UI/ReactJS developer dedicated to creating captivating and responsive websites. Skilled in designing and implementing web applications that seamlessly integrate multiple APIs, resulting in exceptional user experiences. Experienced in leveraging cloud platforms and advanced AI tools for scalable deployments.

Work Experience

• Research Assistant

  University of North Texas, Denton, TX | August 2023 – May 2024

  • Crafted advanced AI algorithms using TensorFlow and PyTorch, improving predictive model accuracy by 35%.
  • Implemented innovative image processing techniques with an accuracy rate of 88.35% in object segmentation.
  • Managed AI model lifecycle using MLflow and DVC.

• Software Engineer

  Ernst & Young, Hyderabad, India | July 2021 – January 2023

  • Developed and deployed REST and GraphQL APIs, improving data retrieval efficiency by 40%.
  • Designed wireframes for dashboards, enhancing user engagement and website visibility.
  • Established secure coding protocols, reducing system vulnerabilities by 75%.

Projects

• E-commerce Store

  Developed scalable API endpoints and a React-based UI, reducing data retrieval times to under 200 milliseconds.

  GitHub

• AI-Based Attention Estimation System

  Utilized CNN and VGG16 for sentiment analysis and image processing, achieving high engagement analysis accuracy.

  GitHub

• Personal Assistant LLM

  Built a LangChain-based personal assistant with Azure OpenAI, enhancing user interaction quality.

  GitHub

Education

• University of North Texas, Denton, TX | Master of Science in Computer Science | GPA: 3.9/4.0 (January 2023 - May 2024)
• Vasavi College of Engineering, Hyderabad, India | Bachelor of Technology in Computer Science | GPA: 3.9/4.0 (August 2017 - July 2021)

Research Paper

• GenFlowchart: Parsing and Understanding Flowchart Using Generative AI

  Developed a generative AI framework to automate the parsing and comprehension of complex flowcharts. This solution combines the Segment Anything Model (SAM) for segmentation, OCR for text extraction, and prompt engineering to reconstruct flowchart logic. Benchmarked against industry standards, GenFlowchart sets a new standard in automated flowchart interpretation, offering efficiency and precision.

  Learn More: Read the Research | View the Code

Skills

• Web Development: HTML5, CSS3, JavaScript, React, Angular, Node.js, GraphQL, THREEJs, NextJs, AJAX, JQuery
• Backend Development: Spring, SpringBoot, Tomcat, Servlet, JSP
• Testing Tools: Jest, JUnit, Cypress, Jasmine, Karma
• Versioning Tools: Git, GitHub, GitLab
• Containerization Tools: Docker, Kubernetes
• CI/CD Workflow Automation Tools: Gitflow, Jenkins
• Cloud Technologies: AWS (EC2, Lambda, S3, EBS, CloudFront), Azure, Google Cloud
• AI/ML Tools: LangChain, LangFuse, TensorFlow, PyTorch, OpenCV, BERT, OpenAI, HuggingFace, Llama
• Databases: MySQL, MongoDB, PostgreSQL
• ORM Tools: Hibernate, JPA