Software Engineering Student | Backend & Cloud Infrastructure Engineer
Building real-time systems, scalable cloud architectures, and AI-powered applications.

📍 Kingston / Toronto, Canada
🎓 Queen’s University — B.Comp (Computer Science, Data Analytics Option)

I’m a software engineering student with hands-on experience designing and deploying real-time production systems. My work spans backend architecture, cloud infrastructure automation, and applied machine learning.

I’m particularly interested in:

• Distributed systems
• Real-time monitoring platforms
• Data-intensive applications
• AI system integration in production environments
• Technical leadership in high-impact engineering teams

• Modernized a full-stack performance monitoring platform using React, Next.js, Express, and Flutter, delivering 10+ production features.
• Designed and deployed a real-time AWS EC2 monitoring pipeline using WebSockets to detect embedded C device and cloud connectivity failures — reducing response time by 500%.
• Prototyped a custom LLM system in Python + LangChain to analyze solar performance against historical and weather datasets.

• Architected a multi-tenant backend API using NestJS with OpenAPI-compliant REST endpoints.
• Integrated billing and usage tracking with Stripe.
• Designed Docker-based CI/CD pipelines using GitHub Actions and AWS Cloud.
• Reduced deployment time by 5× and enabled continuous releases across dev, staging, and test environments.
• Led projects with cumulative budgets exceeding $20,000.

• Published Chrome extension built with Manifest V3 APIs.
• Converted Python ML models to ONNX for in-browser inference.
• Integrated Transformers.js (Hugging Face) for fully client-side AI detection.
• Built supporting serverless backend with AWS Lambda, API Gateway, DynamoDB, and S3.
• Focused on privacy-preserving AI detection.

• Built a React-based assessment generator powered by GPT.
• Integrated OpenAI GPT-3.5 via a Django backend.
• Automated fine-tuning data generation with MySQL.
• Improved model evaluation accuracy by 200%.

• Backend Developer → Team Lead → Outreach Director, Queen’s Web Development Club
• Marketing Director → Co-Chair, Smith Business & Technology

• Distributed systems design patterns
• Advanced testing strategies for production systems
• Kubernetes orchestration
• Scaling LLM-backed applications

• LinkedIn: https://www.linkedin.com/in/saulwolkove
• GitHub: https://github.com/SaulWolkove

Always building. Always learning. Focused on shipping real systems.