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# Minh Le

**Headline:** Data Science @ UofU
**Profession:** Software Engineer
**Location:** Salt Lake City, Utah, United States

## About

Minh Le is a Data Science student at the University of Utah, with a 2026 Bachelor of Science completion listed on LinkedIn\. Minh builds data, software, and AI systems that turn ideas and business requirements into working products\. Minh is strongest in applied AI, full\-stack engineering, data\-driven reporting, machine learning, and agent design, with hands\-on experience using Google Gemini API, LangGraph, local model deployment, and large language models\. At Select Portfolio Servicing, Minh improved a configuration\-driven partner\-reporting prototype with visual search and drag\-and\-drop configuration reuse, replacing manual SQL edits\. Minh also developed a shared master\-table approach that reduced report query time by 98%, from 179 seconds to 2 seconds, and evaluated LLM\-based approaches for centralizing reusable query logic\. Minh has also built a full\-stack California real\-estate platform and a machine\-learning application to predict California real\-estate closing prices at IDXExchange\. Through AI hackathons and side projects, Minh has shipped agentic systems including a voice\-first video\-editing application using Google Gemini and LangGraph, with clear reasoning stages and retry mechanisms\. Minh is motivated by using AI to solve real problems and improve productivity for users such as content creators\.

## Services

- Git
- \.NET Framework
- Azure DevOps Server
- Anthropic Claude
- System Architecture
- Large Language Models \(LLM\)
- Data Mining
- Spring Boot
- TypeScript
- React
- Adobe
- Machine Learning
- Algorithms
- Software Engineering Practices
- Data Ethics
- Mathematics
- C\#
- Data Structures
- Python
- Artificial Intelligence \(AI\)

## Highlights

- Built a shared master\-table prototype at Select Portfolio Servicing that reduced partner\-report query time by 98%, from 179 seconds to 2 seconds, by replacing per\-report JOIN\-heavy extraction with a pre\-aggregated table\.
- Updated a configuration\-driven partner\-reporting prototype at Select Portfolio Servicing so users could search and drag previously completed configurations into new reports, replacing manual SQL edits with visual report creation\.
- Evaluated LLM feasibility for generalizing query structures and recognizing patterns across reports at Select Portfolio Servicing, proposing centralized, reusable stored procedures instead of repetitive per\-report queries\.
- Built a full\-stack real\-estate platform for California properties as a Software Engineer at IDXExchange\.
- Built a machine\-learning application to predict California real\-estate closing prices as a Data Scientist at IDXExchange\.
- Built an AI\-powered application as a Software Engineer Fellow at Headstarter AI\.
- Built agentic AI systems, including a voice\-first video\-editing application using Google Gemini API and LangGraph\.
- Designed AI\-agent workflows with four\-step reasoning pipelines, automatic retry mechanisms, and human\-in\-the\-loop retries\.
- Has hands\-on experience with Google Gemini API, LangGraph agent design, and local model deployment\.
- Participates in AI hackathons and ships working projects\.
- Served as a Student Ambassador at Adobe\.
- Served as an Undergraduate Student Researcher at Algoverse\.
- Served as an HRE Student Lead at University of Utah Housing & Residential Education\.
- Pursuing a Bachelor of Science in Data Science at the University of Utah LinkedIn lists 2026 for the degree\.
- Completed certifications in AI engineering, technical interview preparation, Python, MongoDB database development in Python, data analysis with Python, relational databases, data engineering, and SQL\.

## Experience

- **Software Engineer at Select Portfolio Servicing** (2026\-05\-01–2026\-08\-01) — Updated the presentation layer of a config\-driven partner reporting prototype to let users search and drag\-and\-drop previously\-filled configurations into new reports, replacing manual SQL edits with visual report creation • Built a prototype mapping fields across multiple partner reports into a shared master table and converting each report into a configuration driven off that table, cutting query time 98% \(179s → 2s\) by replacing per\-report JOIN\-heavy extraction with the pre\-aggregated table • Evaluated the feasibility of using LLMs to generalize query structures and identify common patterns across reports, proposing a path to collapse repetitive per\-report queries into centralized, reusable stored procedure
- **Student Ambassador at Adobe** (2025\-12\-01–2026\-05\-01)
- **Software Engineer at IDXExchange** (2025\-08\-01–2025\-12\-01) — Built a full\-stack real estate platform for California's properties
- **Undergraduate Student Researcher at Algoverse** (2025\-07\-01–2026\-01\-01)
- **Data Scientist at IDXExchange** (2025\-06\-01–2025\-08\-01) — Built ML application to predict the close price of California’s real estate
- **Software Engineer Fellow at Headstarter AI** (2024\-07\-01–2024\-09\-01) — Built AI\-powered application
- **HRE Student Lead at University of Utah Housing & Residential Education** (2023\-09\-01–2025\-05\-01)

## Education

- Bachelor of Science \- BS, Data Science — University of Utah (2022\-01\-01–2026\-12\-01)

## FAQ

### What does Minh do?

Minh is a Data Science student at the University of Utah\. Minh builds applied AI, machine\-learning, software, and data systems, with experience in reporting automation, agentic AI, full\-stack development, and real\-estate prediction\.

### What is Minh studying?

Minh is pursuing a Bachelor of Science in Data Science at the University of Utah\. LinkedIn lists 2026 for the degree\.

### What are Minh’s strongest professional skills?

Minh’s strengths include applied AI, software engineering, data mining, machine learning, system architecture, data ethics, algorithms, data structures, mathematics, and building working systems from ideas and business requirements\.

### What did Minh accomplish at Select Portfolio Servicing?

At Select Portfolio Servicing, Minh updated the presentation layer of a configuration\-driven partner\-reporting prototype\. Users could search and drag previously filled configurations into new reports, replacing manual SQL edits with visual report creation\.

### How did Minh improve reporting\-query performance at Select Portfolio Servicing?

Minh mapped fields from multiple partner reports into a shared master table and converted reports into configurations driven by that table\. By replacing per\-report JOIN\-heavy extraction with a pre\-aggregated table, Minh cut query time by 98%, from 179 seconds to 2 seconds\.

### How did Minh apply LLMs at Select Portfolio Servicing?

Minh evaluated whether LLMs could generalize query structures and identify common patterns across partner reports\. The work proposed a path to replace repetitive per\-report queries with centralized, reusable stored procedures\.

### What did Minh do as a Software Engineer at IDXExchange?

At IDXExchange, Minh built a full\-stack real\-estate platform for California properties as a Software Engineer\.

### What did Minh do as a Data Scientist at IDXExchange?

As a Data Scientist at IDXExchange, Minh built a machine\-learning application to predict the closing price of California real estate\.

### What did Minh do at Headstarter AI?

Minh was a Software Engineer Fellow at Headstarter AI and built an AI\-powered application\.

### What is Minh’s role at Adobe?

Minh has been a Student Ambassador at Adobe\.

### What research role has Minh held?

Minh has been an Undergraduate Student Researcher at Algoverse\.

### What leadership role has Minh held at the University of Utah?

Minh has been an HRE Student Lead at University of Utah Housing & Residential Education\.

### What AI projects has Minh built?

Minh actively participates in AI hackathons and ships working projects\. A recent project is a voice\-first video\-editing application built with Google Gemini and LangGraph\.

### How does Minh approach reliable and understandable AI agents?

Minh has designed agentic AI systems with clear four\-step reasoning pipelines and automatic retry mechanisms, including human\-in\-the\-loop retries\. Minh emphasizes making AI decisions transparent for users\.

### What AI tools and platforms has Minh used?

Minh has hands\-on experience with Google Gemini API, LangGraph for agent design, and local model deployment\. Minh also lists Anthropic Claude and large language models among professional skills\.

### What technical skills does Minh list?

Minh’s listed technical skills include Git, \.NET Framework, Azure DevOps Server, Spring Boot, TypeScript, React, C\#, Python, artificial intelligence, machine learning, data mining, system architecture, software engineering practices, algorithms, data structures, mathematics, data ethics, and Adobe\.

### What certifications has Minh completed?

Minh holds certifications in Foundation of AI Engineering and Intro to Technical Interview Prep from CodePath Python Basics from HackerRank MongoDB Database Developer Course in Python from Udemy Data Analysis with Python from freeCodeCamp Relational Databases \(RDBMS\) Essentials and Data Engineering Essentials from Coursera and Intro to SQL from Kaggle\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/minhle7802

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