Open to opportunities

Sayeem Raza

@sayeemraza

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Experienced Senior Machine Learning Engineer focused on intelligent data systems.

United States

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth opportunities in machine learning and AI.

I am a Senior Machine Learning Engineer with a strong focus on building intelligent data processing systems. My expertise lies in Python, Django, and machine learning, where I have successfully automated tasks and improved data accuracy. I am proficient in cloud technologies like AWS and have experience with containerization using Docker and Kubernetes, as well as CI/CD pipelines.

Throughout my career, I have developed tailored machine learning models and integrated advanced NLP libraries to enhance content recognition and sentiment analysis. My collaborative mindset and strong problem-solving abilities drive me to leverage technology for innovation, ensuring high-quality solutions that meet business needs. I am passionate about mentoring junior engineers and fostering a culture of knowledge sharing and continuous improvement.

Experience

Work history, roles, and key accomplishments

Senior Machine Learning Engineer

Capgemini

Jan 2020 - May 2025 (5 years 4 months)

Employed Django for a robust backend, ensuring scalability and seamless database interaction. Developed tailored ML models for precise content recognition across text, image, video, and audio.

Python Django Machine Learning NLP AWS Docker Kubernetes PostgreSQL GitHub Actions

Senior Python Developer

Togetherwork

Oct 2016 - Dec 2019 (3 years 2 months)

Developed ACCME Learner Reporting System (LRS), a centralized hub where certification boards and course providers can manage and report their accreditations. Organized code into models, views, and templates, facilitating clarity and maintainability throughout development.

Python Django PostgreSQL AWS Docker Kubernetes Jenkins Pytest Selenium

Python Developer

Capital One

Feb 2014 - Sep 2016 (2 years 7 months)

Developed and implemented advanced machine learning models in Python to enhance fraud detection systems, significantly reducing false positives and improving detection accuracy. Built and optimized ETL pipelines using Python to automate data collection, cleaning, and processing, ensuring high-quality data for real-time analytics and decision-making.