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| | Click here or scroll down to respond to this candidateCandidate's Name
Seeking a software engineering position where I can apply my knowledge of programming languages and
software development life cycle to contribute to innovative projects and grow within a dynamic tech environment.
EMAIL AVAILABLE (Street Address ) 324-2746 Coral Springs, Florida https://github.com/Landarby80
WORK EXPERIENCE
TD
Mainframe Developer Nov 2022- Present
Conducted data mining operations using SAS to extract relevant information, which was then utilized to
generate comprehensive reports for business stakeholders. These reports provided actionable insights that
supported informed decision-making, leading to a 15% improvement in business performance metrics.
Analyzed and resolved job abends through Endevor, reducing system downtime by 30%, which signi cantly
increased operational e ciency and saved the company an estimated $50,000 annually in lost productivity.
Remediated over 3,000 customer accounts affected monthly by production issues, successfully restoring
service and building trust with clients. This resulted in a 25% increase in customer retention and satisfaction
scores.
Analyzed, calculated, and tested job con gurations, increasing JCL space allocation by 50% and preventing
future job abends for the next decade. This proactive approach improved job execution reliability by 40% and
reduced manual intervention by 25%.
Strengthened understanding of Agile work ows by collaborating with a team of 10+ members in real-world
environments, leveraging tools like Jira and Con uence. This improved project delivery times by 20% and
increased overall team productivity.
EDUCATION
FAU
Bachelor on Computer Science - 3.4 GPA 2019-2022
PROJECT
GALLERY-API PROJECT
Gallery-api is a full-stack web application showcasing pro ciency in Python, FastAPI, and React.js. The
project includes a home page, a visually appealing image gallery, and comprehensive API documentation.
Technologies utilized: Python, FastAPI, React.js, Tailwind CSS, and Vite.
LINK : https://github.com/Landarby80/Gallery-API
Leader-Follower Mobile Robots
Design, build and demonstrate 3 to 5 robots that implement a leader-follower formation protocol that
maintains a steady communication path (direct or multi-hop) between any pair of nodes in the network of
robots by using visual and radio signal strength information between any pair of nodes with the objective
maximizing network coverage for effective operation.
Built using Python, OpenCV, 2 robots car, Aruco marker, Raspberry pi 3
SKILLS
COBOL JCL Python
JavaScript React.JS Go
SAS
ENDEVOR
AWF
CA-7
HTML
CSS
SQL
MongoDB
Git/GitHub
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