Utsab Shrestha

Software Engineer | MS Computer Science Student @ USD
Distributed Systems • Backend Architecture • Cloud Infrastructure

🔍 Seeking Summer 2026 Software Engineering Internships

Building scalable backend systems, distributed schedulers, and high-throughput APIs using .NET, SQL Server, and cloud infrastructure.

Download Resume Email Call LinkedIn GitHub

About

Hi, I'm Utsab! I'm a Computer Science graduate student at the University of South Dakota, specializing in distributed systems and backend engineering. I have professional experience building scalable payment systems and distributed infrastructure at Cedar Gate Technologies, where I architected high-throughput APIs, implemented distributed scheduling with Quartz.NET, and optimized claims processing for healthcare applications. I'm now pursuing my MS to deepen my expertise in AI and distributed systems, and I'm seeking Summer 2026 software engineering internships where I can contribute my technical skills and learn from experienced engineering teams.

Skills

Languages & Frameworks

C#CJavaPython JavaScriptPHPSQL ASP.NET CoreASP.NETBlazor Node.jsExpress.jsCodeIgniter Quartz.NETSignalR

Cloud

AWSMicrosoft Azure

DevOps & Tools

DockerKubernetesJenkinsGitCI/CD NUnitxUnit IntelliJVisual StudioVS CodeJIRAPostman

Databases

SQL ServerPostgreSQLMySQLMongoDBRedisSQLite

Experience

Jan 2023 – Aug 2025

Cedar Gate Technologies — Lead Software Engineer

Led end-to-end delivery of payment integration service, expanding initial prototype to production-ready platform serving 3+ legacy systems across distributed servers; architected background job processing, RESTful APIs, and SQL Server data management to support bundled payment models and cross-system workflows.
Engineered enterprise-grade distributed scheduling system using Quartz.NET clustering with SQL Server AdoJobStore, SignalR for real-time job monitoring, and Serilog for structured logging; achieved 40% improvement in scheduling through- put and 30% reduction in debugging time through clustered failover and load balancing
Developed advanced claims payment features including withholding, recoupment, refunds, and automated 835 EDI Provider Level Balance (PLB) adjustments; streamlined payment processing and improved auto-posting accuracy for high-volume batch operations.
Received 2025 Spotlight Award for technical architecture and delivery of the Enterprise Claims Engine integration under tight deadlines.

Jan 2022 – Jan 2023

Cedar Gate Technologies — Senior Software Engineer

Designed foundational architecture for a payment integration service using ASP.NET Core, establishing RESTful API patterns, database schema design with SQL Server, and initial Quartz.NET job scheduling framework for payment processing workflows.
Modernized legacy ASP.NET Web Forms applications by developing .NET 7 and ASP.NET Core web services with internal APIs for cross-application communication; improved system interoperability, data consistency, and overall performance by 20%.

Mar 2021 – Jan 2022

Cedar Gate Technologies — Software Engineer

Optimized SQL queries and stored procedures across claims modules, improving claim processing throughput by 30% on datasets exceeding 1M rows via indexing strategies and query plan tuning.
Architected and implemented critical claims pricing features in the Capitation Adjudication (EZ-CAP) system, which improved functionality by 25% and reduced claims processing time by 15%, resulting in increased operational efficiency.

May 2018 – Feb 2021

Softwel Pvt. Ltd — Software Engineer

Designed and built a high-throughput API for the Nepal National WASH program initially in PHP CodeIgniter, then architected and executed full migration to ASP.NET Core (.NET 3); reliably handled 1,000+ daily survey submissions and persisted 1M+ records in PostgreSQL with robust data integrity and batching.
Engineered complex PostgreSQL queries and reporting pipelines to accelerate WASH analytics delivery by 25%, improving stakeholder reporting SLAs.
Integrated OpenLayers.js with GeoServer to visualize surveyed geospatial data on interactive maps, enabling spatial insights and field operations planning.

Projects

ECG Arrhythmia Classification

Designed and benchmarked 1D-CNN backbones (ResNet, Inception) for multi-class arrhythmia detection, integrating attention mechanisms to capture temporal morphological features. Conducted extensive ablation studies across loss functions (Cross-Entropy vs. Focal Loss) and weighting strategies to optimize for Macro-F1 score on imbalanced data. Implemented a reproducible multi-seed experimental workflow to quantify model variance, demonstrating a stable state-of-the-art performance of 98% accuracy.
Stack: Tech Stack: Python, TensorFlow/Keras, Scikit-learn, Matplotlib, Seaborn.
github: github repo

Oct 2025 – Dec 2025

Distributed Job Scheduler Dashboard

Built a real-time monitoring dashboard for distributed job scheduling system using SignalR, ASP.NET Core, and JavaScript. Displays job execution status, cluster health, and performance metrics across multiple nodes. Enabled 30% faster debugging through live telemetry visualization.
Stack: ASP.NET Core, SignalR, Quartz.NET, SQL Server, JavaScript.