I’m Shelton Bumhe, a Computer Science student at the University of Nebraska–Lincoln and Software Engineering Intern at Fiserv. I build backend systems, APIs, event-driven workflows, and AI-assisted tools that make complex operations easier to track, understand, and improve.
I like turning unclear workflows into clear software.
My best work sits between backend engineering, product thinking, and real-world operations.
I start with the workflow: who needs visibility, what information is missing, where work slows down, and which system boundary should own the fix. Then I choose the technology that fits.
Experience across enterprise backend work, operational data workflows, software development, and teaching.
Fiserv
Working on an enterprise file-tracking platform built to solve visibility gaps across large-scale file-processing workflows. Files move through multiple internal systems, and teams need one clear way to see where each file is, what stage it is in, whether it failed, and how it connects to related files, jobs, clients, and downstream processing steps. I contribute to backend services, event modeling, business-rule validation, SQL data modeling, and searchable APIs that expose file movement, status, failures, and relationships. I also contributed to an AI-assisted development workflow supporting code quality, documentation, and business-rule alignment.
Dominion College
Built a Python and SQL tracking workflow to organize student records, tutoring activity, and progress reporting when manual processes made it difficult to see who needed help and where students were improving.
Real problems broken into events, workflows, APIs, data models, and user-facing tools.
Files move across internal systems without one clear tracking view for state, failures, related jobs, clients, and downstream processing.
Designed around up to 1M file events per day, with potential operational savings of up to $100K per month by reducing manual investigation and helping teams find missing, failed, delayed, or misrouted files faster.
Small business owners need founder guidance but often lack access to trusted networks.
Makes mentorship and founder knowledge more accessible.
Manual truck inspections are slow, repetitive, and inconsistent.
Manual tutoring records made student progress harder to review.
Reduced manual tracking effort and improved academic visibility.
Commerce systems need reliable transactions, fast catalog reads, and clear customer and admin workflows.
Predictions are less useful when users cannot understand what influenced the result.
Connects ML prediction with explanation and a usable interface.
88% reported accuracyCommunities and programs shaping my leadership, technical growth, and career development.
Management Leadership for Tomorrow
Developing leadership, communication, professional readiness, technical interview preparation, networking, and product thinking through a high-accountability program. The experience strengthens how I communicate technical ideas and connect engineering decisions to business impact.
ColorStack
Active member of a community supporting Black and Latinx computer science students through career development, technical growth, mentorship, and access to opportunities in technology.
National Society of Black Engineers
Member of an engineering community focused on academic excellence, professional development, leadership, and increasing representation in engineering and technology.
I care about systems that are useful, not just impressive.
Building APIs, service layers, business logic, and system workflows.
Java · Spring Boot · C# · ASP.NET Core · REST APIs · GraphQLDesigning schemas, relationships, indexes, and query flows for application data.
SQL Server · PostgreSQL · MySQL · Oracle · JPA · JDBCModeling workflows as events and processing updates asynchronously.
Kafka · Event modeling · Workflow stateBuilding clear interfaces that expose system capabilities to users.
React · JavaScript · TypeScriptPackaging, validating, and delivering software through repeatable workflows.
Docker · GitHub Actions · GitLab · AzureTurning data into models, explanations, and developer-assisted workflows.
Python · Pandas · scikit-learn · Machine learning · AI-assisted toolsA focused guide to my experience, projects, technical strengths, architecture decisions, and career goals. It answers from a structured portfolio knowledge base.
Structured demo · No personal data collected
I’m interested in software engineering opportunities where backend systems, real user problems, and strong engineering judgment matter.