Featured Member: Prashan Sapkota on HBCU CONNECT!

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Prashan Sapkota
Software Engineering Intern, Zof AI
Location: Nashville, TN United States
Joined: Feb 8th, 2025

About (request update)

With a strong background in computer science and software development, I have extensive experience working on cutting-edge projects involving AI/ML, cloud computing, cyber-physical systems, and web development. As a finalist in the U.S. Army xTech HBCU competition, I developed advanced solutions integrating quantum encryption and autonomous decision-making frameworks. I am proficient in Python, Java, TensorFlow, ReactJS, and AWS, and thrive in roles that challenge my technical and creative abilities.

Current Whereabouts:

Backend engineering, cloud infrastructure, and building scalable systems. Recently exploring how AI can be integrated into production applications.

Website:

https://prashansapkota.com/

Education (request update)

Fisk University class of 2027

Undergrad Major: Computer and Information Science

Experience

I currently work with Zof AI as Software Engineering Intern
I have 1 years of experience working in the Computers, Software industry.

Software Engineering Intern | Vanderbilt University
From June 2025 to August 2025 • 0 year(s)
Accelerated particle annotation from 60 minutes to 30 seconds (120�) by engineering a Python automation tool with a Streamlit UI, implementing image processing algorithms to eliminate manual preprocessing across 1K+ microscopy samples � Achieved 96% segmentation accuracy across 3,000+ microscopic particles by building a PyTorch data pipeline that processed large images in batches and exported labeled results as CSV/JSON � Improved accuracy by 18% by building an evaluation framework using Hungarian matching to validate model performance

Software Engineering Intern | Zof AI
From June 2025 to August 2025 • 0 year(s)
� Built the company�s first deployment infrastructure for 20+ services across AWS (ECS Fargate), configuring an Application Load Balancer with HTTP health checks, path-based routing rules, and target group registration, achieving zero-downtime releases � Reduced deployment time from 1 hour to 4 minutes by containerizing services with Docker and automating Continuous Integration/Continuous Delivery (CI/CD) pipelines with AWS CodePipeline and testing gates � Streamlined 100+ weekly booking requests by developing a Next.js and Tailwind CSS scheduling platform for businesses to manage bookings for QA testing, enabling AI agents to test applications against multiple test suites (unit, E2E, and stress testing) � Migrated 10+ production AI agents from AWS to Azure (AKS) in 14 days, automating CI/CD pipelines and configuring Load Balancers to utilize $100K+ in pre-secured Azure credits and saving $1000/month

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