Vlad Wilson
AI Development Intern @ CelestiQ
Software Engineering Data Science AI Integration Cloud Solutions App Development Web AppsSummary
Software Engineering student with a strong focus on machine learning engineering and scalable cloud solutions. Pursuing a B.S. in Software Engineering with a Minor in Data Science while building production-ready, modern, full-stack applications applying Generative AI, machine learning, and Retrieval Augmented Generation (RAG) templates.
Experience
AI Development Intern
CelestiQ (subsidiary of Brainard-Nielsen Marketing Inc.)
Milwaukee, WI
Microsoft Teams RAG Agent
- Created an agent for Microsoft Teams, with multi-tab functionality, data persistence, and a feedback mechanism to capture user dissatisfaction
- Updated the system to use Multimodal chat, processing images and text from users before returning a response
- Migrated infrastructure from Microsoft Azure to AWS (Amplify, ECS) to improve performance and handle a growing customer base
RAG Analytics & Feedback System
- Developed a React TypeScript dashboard for conversation analytics to improve system monitoring, RAG result quality, and end user experience
- Engineered an interactive feedback system capturing user responses
- Implemented real-time data replication using Supabase subscriptions to allow for analytics without impacting database performance for users
Vector Search Infrastructure and Deployment
- Designed and deployed a Node.js-based vector search service using OpenAI embeddings with MongoDB and OpenSearch to create a product discovery pipeline for thousands of SKUs
- Containerized and deployed the application using Docker, AWS ECS, and Fargate
Skills
Languages
Frameworks & Libraries
Tools
Databases
Education
Milwaukee School of Engineering
B.S. — Software Engineering, Minor: Data Science
GPA: 3.6
Relevant Coursework
Data Structures, Software Development, Web Apps, Software Tools and Processes, Procedural and Object-Oriented C++, Discrete Math, Linear Algebra, Statistics, Design and Cloud Patterns