CS Student · University of Utah · Open to opportunities

Omar Rizwan

Software Engineer & ML Enthusiast

Salt Lake City, UT

I'm a Computer Science student at the University of Utah with a passion for building intelligent systems at the intersection of software engineering and machine learning. My experience spans from deploying production RAG systems to building enterprise software solutions. I thrive on solving complex problems and creating elegant, scalable solutions.

9M+

Docs Indexed

4

Internships

3.6

GPA / 4.0

PythonTypeScriptReactNext.jsCUDAPyTorchDockerKubernetesAWSC#.NETJavaGolangMachine LearningRAG SystemsFAISSChromaDBHuggingFaceTensorFlowScikit-learnSpring BootPostgreSQLTailwind CSSSentence TransformersPythonTypeScriptReactNext.jsCUDAPyTorchDockerKubernetesAWSC#.NETJavaGolangMachine LearningRAG SystemsFAISSChromaDBHuggingFaceTensorFlowScikit-learnSpring BootPostgreSQLTailwind CSSSentence Transformers

Experience & Education

From production ML systems and enterprise software to university research

Full-Stack Software Engineering Intern

Active

Brenner Software

industry
Jan 2026 – PresentSalt Lake City, UT · Hybrid
  • Shipped SaaS features using Angular, TypeScript, and C# (.NET) across the full stack on Steelworks — a production platform for metal fabrication shops.
  • Built reusable Angular components, REST APIs backed by SQL Server, and role-based access control with caching layers.
  • Integrated the SolidWorks REST API and built background jobs and scheduled workflows.
  • Added production logging/monitoring and resolved live frontend and backend issues.
AngularTypeScriptC#.NETSQL ServerREST APIsSolidWorks REST APIASP.NET MVC

Machine Learning Intern

Active

University of Utah

research
Fall 2025 – PresentSalt Lake City, UT
  • Deployed a full-stack Retrieval Augmented Graph search system using React and Python.
  • Vectorized a 59 GB Solr index (9 M records) into a dense vector database for semantic search.
  • Built CUDA-optimized pipelines with custom loss functions for high-fidelity embeddings.
PythonReactCUDASolrFAISSChromaDBSentence TransformersDockerKubernetes

Software Engineering Intern

OneMain Financial

industry
Summer 2025Remote
  • Led a major software transition using C# and SQL across enterprise systems.
  • Integrated APIs for credit checks and database optimizations.
  • Designed and delivered training programs for new systems adoption.
  • Monitored database and API performance for reliability.
C#.NETSQL ServerREST APIs

Software Engineering Intern (Part-Time)

OneMain Financial

industry
Spring 2025Remote
  • Maintained .NET (C#) applications including TaskMaster and NuBuild workflows.
  • Developed SQL Server nightly jobs with monitoring and failure handling.
  • Built automated email alert systems for operational issues.
  • Created and modified Telerik Reports for business intelligence.
C#.NETSQL ServerTelerik Reports

Bachelor of Computer Science (Honors)

University of Utah

education
Expected May 2027Salt Lake City, UT
GPA: 3.6 / 4.0Dean's List (2023-2025)
Software Practice I & IIDeep LearningData Structures and AlgorithmsDatabasesMultimodal SystemsMachine Learning

Featured Projects

ML systems, full-stack applications, and research tools

fig_00
ML System

UDN Retrieval Augmented Generation

Semantic Search at Scale

  • Processed and vectorized 9 M+ records from a 59 GB Solr index into a dense vector database.
  • Built CUDA-optimized embedding pipelines with custom loss functions for high-fidelity retrieval.
  • Achieved sub-second semantic search latency using FAISS and ChromaDB.
PythonCUDAHuggingFaceFAISSChromaDBSolr
fig_01
Application

Investify-AI

AI-Powered Investment Analysis Platform

  • Built ML models for real-time market analysis and portfolio recommendations.
  • Developed interactive data visualizations for financial insights.
  • Implemented real-time data processing pipelines for live market feeds.
PythonHTMLCSSJavaScript
fig_02
Research Tool

Epidemic Genius

Disease Spread Simulation & Prediction

  • Implemented SIR/SEIR epidemiological models for disease spread simulation.
  • Built an interactive visualization dashboard for analyzing outbreak scenarios.
  • Analyzed real-world pandemic data to validate model accuracy.
PythonNumPyPandasMatplotlib
fig_03
Application

Spreadsheet Application

Full-Featured Spreadsheet with Live Formulas

  • Implemented recursive formula evaluation and cell dependency resolution.
  • Built a dependency graph for efficient real-time cell updates.
  • Designed an intuitive user interface with keyboard shortcuts.
C#HTMLJavaScript

Technical Skills

Technologies and tools I use to build intelligent, scalable systems

Languages

Python95%
TypeScript / JS90%
C# / .NET85%
Java80%
C++72%
Golang60%

AI & Machine Learning

HuggingFace Transformers90%
RAG / Semantic Search92%
PyTorch82%
FAISS / ChromaDB85%
Scikit-learn / Pandas88%
CUDA Pipelines70%

Cloud & Infrastructure

Docker / Kubernetes78%
AWS (EC2, S3, RDS)70%
SQL Server / Postgres82%
Git / GitHub95%
Next.js / React90%
Tailwind CSS92%

Tools & Specialties

GitGitHubDockerKubernetesShell ScriptingWindowsLinuxData StructuresAlgorithmsMultithreadingDistributed SystemsDatabasesSystem DesignOxford University ConsortiumAssociation for Computing Machinery (ACM)Robotics ClubBeta Theta Pi Fraternity

Get In Touch

I'm always open to new opportunities, collaborations, and conversations. Whether you have a project in mind or just want to connect — my inbox is open.