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Start for FreeDwij Ravikumar
Software Application Developer @University Of Arizona Information Technology Services
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WORK HISTORY
Software Application Developer @University Of Arizona Information Technology Services
Tucson, AZ, US
Designed, developed, and maintained internal web applications supporting enterprise IT workflows using Django, FastAPI, Vue 3, and Node.js.• Built and integrated RESTful APIs backed by PostgreSQL to manage operational data, including identity-related photo metadata and ISO number updates.• Developed backend services to support paperless W-2 workflows, including secure querying of employee control numbers from structured datasets stored in Amazon S3.• Integrated applications with enterprise systems such as EDS and Grouper to support identity and access–related processes.• Implemented Cognito-based authentication workflows across multiple environments to ensure secure and consistent user access.• Worked within a production IT environment, collaborating with stakeholders to support reliability, security, and maintainability of internal systems.
EDUCATION
University of Arizona
Bachelor of Science - BS, Computer Science
ABOUT DWIJ RAVIKUMAR
Analytical | Technical | Solution-OrientedSoftware engineer focused on building reliable backend and full-stack systems in production environments. Most recently, I developed internal enterprise applications and APIs at the University of Arizona IT Systems group using Django, FastAPI, Vue 3, Node.js, PostgreSQL, and AWS.Worked on systems involving identity-related workflows, secure data access patterns (S3-backed datasets), and authentication across environments. I also have research experience in reverse engineering and program obfuscation analysis using Ghidra and Binary Ninja, where I built Python tooling to automate disassembly/CFG-driven analysis.Graduated from the University of Arizona with a BS in Computer Science, with hands-on experience in operating systems, systems programming, and applied data analysis.Proficient in ITSM concepts, process mapping, bottleneck analysis, scripting and automation, and data-driven continuous improvement, with a focus on building lean frameworks that help teams work smarter, not just harder.
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