Software Engineer | Edge AI, Computer Vision, IoT Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
easyeda-mcp-pro
June 13, 2026 – Present
MCP server for EasyEDA Pro: PCB inspection, BOM sourcing, manufacturing export, and AI-assisted hardware review.
View Projectdraforge
June 12, 2026 – Present
Kubernetes DRA observability, simulator and diagnostics for GPU accelerator workloads.
View Projectkicad-mcp
May 31, 2026 – Present
Standalone MCP server for KiCad — migrated from oaslananka/kicad-studio-kit monorepo. Package identity: kicad-mcp-pro (PyPI/npm). Provides LLM-controlled KiCad PCB design via the Model Context Protocol.
View Project.github
May 28, 2026 – Present
Default community health files, shared Renovate policy, reusable GitHub Actions, issue templates, repository labels, and contribution governance for oaslananka projects.
View Projectairsim101-yolov10-cv
May 22, 2026 – Present
Python computer-vision project for AirSim scenarios, YOLOv10 object detection, synthetic data workflows, and autonomous perception experiments.
View Projecta2a-warp
May 22, 2026 – Present
TypeScript runtime, CLI, registry, transports, MCP bridge, and conformance tooling for building and testing Agent2Agent (A2A) protocol integrations.
View Projectboardreadyops
May 21, 2026 – Present
Board-ready operations toolkit for governance evidence, release discipline, issue triage, security controls, and executive reporting across software delivery workflows.
View Projectkicad-studio-kit
May 19, 2026 – Present
Python toolkit for KiCad project automation, electronics design workflows, library checks, release packaging, and hardware documentation support.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards open-source contributions and personal projects, which often aligns well with cultures that value initiative, continuous learning, and community involvement. The diversity of projects, ranging from hardware design automation to AI/ML and Kubernetes, suggests a broad technical curiosity and willingness to explore different domains. This breadth could be a strong asset for a team that values versatile contributors. The focus on 'board-ready operations toolkit' and 'governance evidence' also hints at an understanding of operational discipline, which is beneficial for a structured development environment. However, the projects are heavily backend/tooling focused, and while frontend technologies are listed, the core application of these skills in a user-facing context is not explicitly detailed, which might require further validation for a dedicated Frontend Developer role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on tooling, automation, and complex system integrations, which suggests a methodical and detail-oriented approach. The breadth of technologies used across personal projects implies a strong drive for learning and independent problem-solving. However, without specific behavioral assessment data or interview insights, it is difficult to fully assess soft skills like teamwork, communication style, or stress handling. The project descriptions are clear and concise, indicating good written communication.