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I'm Ava Yurasits, an Applied AI Engineer blending biomedical engineering with hands-on experience building intelligent automation systems. I design end-to-end automation pipelines that integrate AI models into real-world workflows, orchestrate APIs, and create reliable multi-step decision systems. My background spans software, embedded systems, and hardware validation, enabling me to bridge hardware and software to deliver practical AI-enabled automation.\n\nI'm especially excited about AI-enabled automation, robotics, and intelligent operational systems. I enjoy cross-functional collaboration, documenting architectures, and solving reliability challenges, with a focus on maintainability, scalability, and measurable impact on workflows.…I'm Ava Yurasits, an Applied AI Engineer blending biomedical engineering with hands-on experience building intelligent automation systems. I design end-to-end automation pipelines that integrate AI models into real-world workflows, orchestrate APIs, and create reliable multi-step decision systems. My background spans software, embedded systems, and hardware validation, enabling me to bridge hardware and software to deliver practical AI-enabled automation.\n\nI'm especially excited about AI-enabled automation, robotics, and intelligent operational systems. I enjoy cross-functional collaboration, documenting architectures, and solving reliability challenges, with a focus on maintainability, scalability, and measurable impact on workflows.

Ava Yurasits

AI Engineer, Data Scientist, Programmer, +2

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I'm Ava Yurasits, an Applied AI Engineer blending biomedical engineering with hands-on experience building intelligent automation systems. I design end-to-end automation pipelines that integrate AI models into real-world workflows, orchestrate APIs, and create reliable multi-step decision systems. My background spans software, embedded systems, and hardware validation, enabling me to bridge hardware and software to deliver practical AI-enabled automation.\n\nI'm especially excited about AI-enabled automation, robotics, and intelligent operational systems. I enjoy cross-functional collaboration, documenting architectures, and solving reliability challenges, with a focus on maintainability, scalability, and measurable impact on workflows.…I'm Ava Yurasits, an Applied AI Engineer blending biomedical engineering with hands-on experience building intelligent automation systems. I design end-to-end automation pipelines that integrate AI models into real-world workflows, orchestrate APIs, and create reliable multi-step decision systems. My background spans software, embedded systems, and hardware validation, enabling me to bridge hardware and software to deliver practical AI-enabled automation.\n\nI'm especially excited about AI-enabled automation, robotics, and intelligent operational systems. I enjoy cross-functional collaboration, documenting architectures, and solving reliability challenges, with a focus on maintainability, scalability, and measurable impact on workflows.

Available to hire

I’m Ava Yurasits, an Applied AI Engineer blending biomedical engineering with hands-on experience building intelligent automation systems. I design end-to-end automation pipelines that integrate AI models into real-world workflows, orchestrate APIs, and create reliable multi-step decision systems. My background spans software, embedded systems, and hardware validation, enabling me to bridge hardware and software to deliver practical AI-enabled automation.\n\nI’m especially excited about AI-enabled automation, robotics, and intelligent operational systems. I enjoy cross-functional collaboration, documenting architectures, and solving reliability challenges, with a focus on maintainability, scalability, and measurable impact on workflows.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Language

English

Fluent

Work Experience

Expert at Mercor Intelligence

January 1, 2026 - Present

Contribute domain expertise to support evaluation and refinement of large-scale AI systems under confidentiality agreement. Execute structured prompts across multiple software environments to assess model reasoning, clarity, and task alignment. Evaluate and grade AI-generated outputs using systematic scoring frameworks. Identify ambiguity, logical gaps, and failure modes in model responses to improve reliability. Provide structured feedback to support performance refinement and output consistency. Apply analytical reasoning to ensure outputs meet clarity, realism, and completeness standards.

Engineering Internship at Mass General Brigham – Medical Device Plug and Play Laboratory

May 1, 2023 - May 1, 2024

Performed comprehensive testing and validation of electromechanical infusion systems, identifying performance discrepancies and supporting system reliability improvements. Applied Python-based statistical analysis to evaluate system behavior under simulated operating conditions. Designed and prototyped mechanical fixtures and components in SolidWorks to support testing infrastructure and experimental workflows. Supported preventive maintenance planning and coordinated with vendors to improve procurement efficiency and cost control. Communicated test results and engineering insights to cross-functional R&D teams to inform product development decisions.

Applied AI & Workflow Automation Engineer at Independent Engineering Projects

January 1, 2025 - Present

Designed and deployed AI-powered automation systems integrating LLMs into structured, production-style workflows. Integrated LLMs with structured JSON outputs to enable reliable task interpretation and deterministic downstream processing. Designed multi-step agentic workflows incorporating conditional routing, validation logic, and failure handling. Built AI-driven automation pipelines using n8n to coordinate data ingestion, decision logic, and execution. Implemented API integrations (messaging, scheduling, databases) to automate business operations. Applied systems engineering principles to define inputs, outputs, constraints, and edge-case handling across workflows. Documented system architecture and validation strategies to support iteration and maintainability.

Applied AI & Workflow Automation (Independent Projects) at Independent Engineering Projects

January 1, 2025 - Present

Designed and deployed AI-powered automation systems integrating LLMs into structured, production-style workflows. Implemented multi-step agentic workflows with conditional routing and validation logic; built AI-driven automation pipelines coordinating data ingestion, decision logic, and execution; integrated messaging, scheduling, and databases via APIs; documented system architecture and validation strategies for maintainability.