Open to opportunities

Dipesh Shrestha

@dipeshshrestha2

Message

I’m a backend engineer who builds performant .NET APIs and applies machine learning for scalable inference.

United States

Message

What I'm looking for

I’m looking for a backend role where I can modernize and optimize APIs, build real-time experiences, and apply ML ideas to improve system performance in a collaborative environment.

I’m a backend engineer and ML-focused researcher with experience modernizing ASP.NET systems, improving performance, and building real-time features. As a Research Assistant at the Department of Computer Science and Engineering (UNT), I co-authored a peer-reviewed paper on scalable transformer inference for TPU-based distributed systems.

I also designed Bayesian ML algorithms that reduced model run time by 16–35% versus baseline approaches, and I wrote technical documentation to support reproducibility and cross-team collaboration. Previously at Janata Technologies, I led end-to-end modernization of a legacy ASP.NET MVC application to a newer .NET version, optimized database query performance by 25%, and integrated SignalR-based real-time updates to reduce UI latency by ~12% compared to polling.

Experience

Work history, roles, and key accomplishments

Research Assistant

University of North Texas

May 2024 - May 2025 (1 year)

Co-authored a peer-reviewed research paper on scalable transformer inference for TPU-based distributed systems. Designed Bayesian ML algorithms to reduce model run time by 16–35% and authored technical documentation to support reproducibility and cross-team collaboration.

Transformer Inference Optimization TPU Based Distributed Systems Performance Optimization Runtime Reduction Technical Documentation Experimental Analysis

Teaching Assistant

University of North Texas

Jan 2024 - May 2024 (4 months)

Served as a teaching assistant for data structures and algorithms.

Data Structures Teaching

Backend Engineer Intern

Janata Technologies

Feb 2023 - Jul 2023 (5 months)

Modernized a legacy ASP.NET MVC application by migrating to a newer .NET version, improving build stability and code quality. Optimized .NET MVC and REST API components to improve database query performance by 25% and integrated real-time updates using SignalR, reducing UI update latency by ~12% versus polling.

ASP.NET MVC .NET Migration REST APIs Real Time Systems SignalR

Education

Degrees, certifications, and relevant coursework

University of North Texas

Master of Science, Computer Science

2023 - 2025

Grade: GPA: 4.00

Activities and societies: Relevant courses: Data Structures and Algorithms, Software Engineering, Computer Architecture.

Earned a Master of Science in Computer Science at the University of North Texas. Completed coursework including Data Structures and Algorithms, Software Engineering, and Computer Architecture.