Featured Member: Shane Hazeur on HBCU CONNECT!

Connect with Shane

• Email Me or Poke Me
• Interview Me
• Send Group Invite
• Add To Favorites
• Block This Member
• Send Friend Request

Uploads

Upload Content | Show More

Connections

more-->

Recent Visitors

more-->

More Members

more-->

Q&A With Shane Hazeur

(interview me)

Shane Hazeur
Student, N/A
Location: Atlanta, GA United States
Joined: Mar 20th, 2026

About (request update)

Software engineer with an AI concentration graduating May 2026, with experience at Microsoft, Wells Fargo, and PepsiCo. Strong foundation in full-stack development, machine learning integration, and building scalable, user-focused applications. Experienced in developing end-to-end systems across frontend, backend, and AI/ML workflows, and AI agents with an emphasis on performance, usability, and clean architecture.

Proficient in Java, Python, JavaScript, SQL, and frameworks including React, Flutter, and PyTorch. Passionate about building intelligent systems that solve real-world problems and drive meaningful user impact.

Current Whereabouts:

In the early stages of my own AI Agency.

Life & Professional Aspirations:

I want to do things that make a difference in people's lives and the future.

Website:

https://www.linkedin.com/in/shane-hazeur-7941ab250/

Education (request update)

- College Not Listed - class of 2026

Undergrad Major: Computer Software Engineering

Experience

I currently work with N/A as Student
I have 3 years of experience working in the Computers, Software industry.

Software Engineer Intern | Wells Fargo
From June 2025 to August 2025 • 0 year(s)
▪ Designed and implemented a GenAI-powered rent roll processing pipeline handling Excel and PDF ingestion. ▪ Built structured JSON output generation to integrate with analyst workflows. ▪ Reduced manual processing time from ~3 hours to ~5 minutes, increasing analyst throughput and operational efficiency. ▪ Implemented batch ingestion logic to improve scalability and adoption across teams.

Software Engineer Intern | Microsoft
From May 2024 to July 2024 • 0 year(s)
▪ Built a Jupyter-based diagnostic system leveraging KQL to analyze GPU cluster telemetry. ▪ Reduced on-call incident resolution time by ~60% through automated cluster repair processes. ▪ Developed an authenticated AI assistant to query operational data and streamline troubleshooting workflows.

Software Engineer Intern | PepsiCo
From May 2023 to August 2023 • 0 year(s)
▪ Developed local and online systems used in a project with Walmart to process and track deliveries more efficiently. ▪ Participated in sprints with local team members and employees stationed in different time zones.

My Groups

Invite Me To A Group

Guestbook Comments