Term status: study
Jonathan Lyashko
Computer Engineering Student
Ontario, Canada
University of Waterloo
Next Coop: Winter '27
I model the real world with silicon and electrons. Excited about quantum hardware with a background in AI and robotics
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About Me
[TIME_LINE]01. START COOP
DevOps Foundations
Started my journey in DevOps, building infrastructure and automating workflows. Focused on reliability and scalable architecture.
02. TRANSITION
AI Engineering Pivot
Pivoted into AI engineering, where I developed internal tools at Revvity. I built agentic tooling and lab automation.
03. TRANSITION AGAIN
Robotics Pivot
Moved closer to hardware through robotics and applied DSP, with more attention on realtime behavior and physical systems.
04. TRANSITION ONE MORE TIME
Quantum & Control Systems
Now aiming toward quantum hardware and control systems, building on a background shaped by software, AI, and machines driven by silicon and electrons.
Education: Currently Pursuing
View course historyBASc in Computer Engineering, Honours, '28
Specializations:Quantum EngineeringCommunications and Signal Processing
Where I've Worked
[EXPERIENCE]Robotics Research Assistant
IDEAS Clinic, University of Waterloo- //Led development of a centralized robot arbitration layer for multi-agent Tetrix robot fleets, coordinating telemetry ingestion, task allocation, and live operator control through a multithreaded Python TCP server.
- //Built fault-tolerant serial communication between FPGA modules and resource-constrained microcontrollers, optimizing data transfer under strict memory, timing, and buffering constraints.
- //Developed odometry-driven coordination logic for autonomous robot fleets, implementing collision avoidance and shared-environment navigation across multiple physical agents.
- //Implemented a real-time FFT audio visualization system on an Intel Max 10 FPGA using SystemVerilog, streaming spectral analysis results to a VGA display.
AI/ML Engineer Intern
Revvity- //Created retrieval-augmented generation (RAG) pipelines and prompt-engineered LLM behavior for domain-specific contexts, boosting output accuracy and adoption.
- //Built modular, agentic LLM workflows using LangGraph, deploying across AWS Bedrock and Azure AI Agents to support scalable, cloud-agnostic AI service orchestration.
- //Designed and deployed multi-tenant AI infrastructure with Docker, GitHub Actions, and Terraform to serve Claude 4 Sonnet, ensuring secure data partitioning and scalable enterprise access.
- //Built a seamless rollback mechanism, transforming recovery from a high-risk, manual process into a smooth operation, dramatically minimizing downtime and business risk.
- //Implemented a comprehensive automated testing framework in Playwright spanning 10+ system components, proactively catching regressions before production and significantly improving reliability.
Systems Developer
Co-operators- //Automated workflows by developing and deploying Python and Bash scripts for tracking and management of areas such as SSL certificate renewal, improving efficiency and reducing manual oversight.
- //Debugged and optimized CI/CD tools, including Dockerfiles and Jenkins build jobs, ensuring reliability through GitHub checks and various unit tests.
- //Designed and implemented new CI/CD pipelines using Terraform, enhancing deployment automation and adhering to Infrastructure as Code best practices.
- //Created GitHub automations with GitHub Actions, streamlining repository management and integration.
- //Developed and maintained .NET Web APIs using C#, integrating internal NuGet packages to enhance functionality.
