Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Fatima Sultana, a Computer Science master’s graduate with experience in AI/ML, full-stack development, and scalable software systems. I have hands-on expertise in Python, Node.js, React, SQL/NoSQL, Docker, and CI/CD, and I focus on building intelligent, secure, high-performance systems. I’m passionate about applying advanced AI to real-world problems at scale and collaborating in cross-functional teams. I enjoy turning ideas into robust, maintainable code and continually learning new frameworks and tools to drive impactful solutions in AI, ML, and software development.…Hi, I’m Fatima Sultana, a Computer Science master’s graduate with experience in AI/ML, full-stack development, and scalable software systems. I have hands-on expertise in Python, Node.js, React, SQL/NoSQL, Docker, and CI/CD, and I focus on building intelligent, secure, high-performance systems. I’m passionate about applying advanced AI to real-world problems at scale and collaborating in cross-functional teams. I enjoy turning ideas into robust, maintainable code and continually learning new frameworks and tools to drive impactful solutions in AI, ML, and software development.

Fatima Sultana

Data Scientist, AI Engineer, Full Stack Developer, +2





Hi, I’m Fatima Sultana, a Computer Science master’s graduate with experience in AI/ML, full-stack development, and scalable software systems. I have hands-on expertise in Python, Node.js, React, SQL/NoSQL, Docker, and CI/CD, and I focus on building intelligent, secure, high-performance systems. I’m passionate about applying advanced AI to real-world problems at scale and collaborating in cross-functional teams. I enjoy turning ideas into robust, maintainable code and continually learning new frameworks and tools to drive impactful solutions in AI, ML, and software development.…Hi, I’m Fatima Sultana, a Computer Science master’s graduate with experience in AI/ML, full-stack development, and scalable software systems. I have hands-on expertise in Python, Node.js, React, SQL/NoSQL, Docker, and CI/CD, and I focus on building intelligent, secure, high-performance systems. I’m passionate about applying advanced AI to real-world problems at scale and collaborating in cross-functional teams. I enjoy turning ideas into robust, maintainable code and continually learning new frameworks and tools to drive impactful solutions in AI, ML, and software development.

Available to hire

Hi, I’m Fatima Sultana, a Computer Science master’s graduate with experience in AI/ML, full-stack development, and scalable software systems. I have hands-on expertise in Python, Node.js, React, SQL/NoSQL, Docker, and CI/CD, and I focus on building intelligent, secure, high-performance systems. I’m passionate about applying advanced AI to real-world problems at scale and collaborating in cross-functional teams.

I enjoy turning ideas into robust, maintainable code and continually learning new frameworks and tools to drive impactful solutions in AI, ML, and software development.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Course Tutor at California State University, Chico

May 1, 2025 - May 1, 2025

Taught Data Structures, Algorithms, and Machine Learning; guided object-oriented design and complexity analysis; led discussions on tech trends, AI frameworks, and problem-solving approaches.

Software Engineer at The Sparks Foundation, India

May 1, 2023 - May 1, 2023

Built RESTful APIs with Node.js, Express.js, and MongoDB/PostgreSQL serving thousands of users. Implemented JWT authentication, improved data access performance by 25%, and automated deployments with Docker + GitHub Actions CI/CD. Collaborated in Agile sprints and conducted code reviews to enhance secure coding practices.

Machine Learning Research Assistant at J-Hub, JNTU Hyderabad, India

March 1, 2023 - March 1, 2023

Designed collaborative filtering recommendation systems, boosting user engagement by 25%. Trained Transformers and LSTMs, improving NLP accuracy by 20%, and enhanced language generation tasks using TensorFlow for better fluency and contextual accuracy.