
I am an experienced and highly creative senior software engineer with 10+ years of experience. I am proficient in a variety of technologies, including and not limited to Java, PHP, JavaScript, Node.js, Python, TypeScript, Commercetools(7years+), Spring MVC, React, Angular, Vue, Laravel, CodeIgniter, HTML5 & CSS3, PostgreSQL, Oracle, and MongoDB. I am also proficient working with Linux servers, cybersecurity tools, and Cisco network devices. I have a proven track record of delivering quality service and successful project outcomes. I am confident in my ability to develop, test, deploy, and maintain the latest technology.
In addition to my Software development skills and experience:
I have experience with a variety of:
Software development methodologies, including Agile and Scrum.
Cloud computing platforms include Amazon Web Service (AWS), Azure, and Google Cloud Platform (GCP).
DevOps tools, including Git, Jenkins, and Bash scripting.
I am confident that I can make a significant contribution to your organization. I am a hard worker and I am always willing to go the extra mile. I am also a team player and always willing to help others. I have worked as an independent and collaborative team player. I am excited to bring my skills to your organization and contribute to your success.
Let's work together!




I take on a challenging research role in leveraging Machine Learning to Enhance Big Data Usage. * Algorithm Development: Design, imple...
I take on a challenging research role in leveraging Machine Learning to Enhance Big Data Usage. * Algorithm Development: Design, implement, and optimize AI/ML algorithms for various research projects. * Data Analysis: Collect, preprocess, and analyze large datasets to extract meaningful insights. * Model Training: Train and fine-tune machine learning models using state-of-the-art techniques. * Experimentation: Conduct experiments to validate hypotheses and improve model performance. * Collaboration: Work closely with faculty, researchers, and other team members on interdisciplinary projects. * Course Support: Assist in the preparation and delivery of lectures, labs, and workshops on AI/ML topics. * Student Mentorship: Provide guidance and support to students working on AI/ML projects. * Grading: Evaluate assignments, exams, and projects, providing constructive feedback to students. * Assist students with course-related questions and problems.