Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5.1] This Developer Support Engineer role emphasizes communication, problem-solving, and helping developers integrate SDKs, which align well with the candidate’s bridge role between business and engineers and their experience building developer-facing tools. Strong Python/Node.js, API work, LLM integration, and clear stakeholder communication are all positives. The main gaps are lack of explicit prior 'developer support' titles and specific experience with document/Web SDK products, which ATS treats as secondary. **Strengths:** Strong technical communication and translation between executives and engineers, Hands-on experience building and maintaining Node.js/LLM-based tools, Proven history of owning automation-heavy operations with minimal manual intervention

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] ATS will see deep ERP and systems experience with TOTVS, which is adjacent to NetSuite ERP implementation, but there are zero 'NetSuite' keywords. The role requires 5+ years of direct NetSuite ERP experience and full-scope accounting implementations, which are not evident. This yields a marginal match lifted only slightly by transferable ERP background. **Strengths:** Deep hands-on ERP work with TOTVS including reverse-engineering schemas and fixing data corruption, Experience designing validation logic and field-level controls in ERP systems, Background in procurement and operations that complements ERP implementation **Missing Required:** 5+ years hands-on experience with NetSuite ERP, NetSuite ERP configuration and development expertise, Experience with full-scope accounting implementations on NetSuite, Experience consolidating subsidiaries and multi-entity organizations using NetSuite

[ANALYSIS_REPORT] **MEDIUM** [3-Flash] Candidate has Python/SQL and industrial background (Mechatronics/Supply Chain). However, the role requires specific Data Engineering tools like Databricks, Spark, and Azure Data Factory which are not present. **Strengths:** Industrial/Logistics domain knowledge, Python, SQL **Critical Gaps:** No experience with Spark/Databricks data pipelines **Missing Required:** Databricks, Spark

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] ATS sees Python and some AWS fundamentals but none of the explicit observability stack (Prometheus, Grafana, Loki, Tempo, Thanos), Kubernetes, or OpenTelemetry keywords that are central to this Staff Platform Observability role. The experience is also not framed as platform engineering or SRE. That combination creates a significant domain misalignment despite some scripting and systems exposure. **Strengths:** Strong systems mindset and comfort with complex operational problems, Python experience that could be applied to tooling and automation, History of acting as a bridge between technical and non-technical stakeholders **Critical Gaps:** Production ownership of observability stacks using Prometheus, Grafana, Loki, Tempo, or similar, Deep Kubernetes platform engineering experience, Hands-on OpenTelemetry infrastructure and instrumentation work, Staff-level platform or observability leadership in high-scale systems **Missing Required:** Proficiency with a major cloud provider (AWS, GCP, or Azure) beyond fundamentals, Experience building internal tools or abstractions to improve developer experience around observability

[ANALYSIS_REPORT] **LOW** [3-Flash] Role is specific to Microsoft Power Platform (PowerApps, Power Automate, Dataverse). Candidate uses generic automation (Make/Zapier) but not this specific ecosystem. **Strengths:** Automation logic, Consultative posture **Critical Gaps:** No experience with MS Power Platform **Missing Required:** Power Platform expertise

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This Senior Scala role centers on Scala, Node.js/TypeScript, and high-throughput services, but the resume only shows Node.js and general scripting with no Scala, TypeScript, or large-scale production systems. The experience is primarily in business operations and automation rather than backend product engineering. ATS will therefore see a weak keyword and domain match. **Strengths:** Node.js experience building a job market intelligence tool, Comfort with unfamiliar technologies and automation, Strong problem-framing skills across domains **Missing Required:** Production Scala development experience, 3+ years of professional Software Engineering roles, Background evolving and scaling high throughput applications

[ANALYSIS_REPORT] **LOW** [3-Flash] Senior .NET role. Candidate lacks C#/.NET stack. **Strengths:** Architecture, SQL, Docker **Critical Gaps:** No .NET experience **Missing Required:** .NET

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] ATS sees strong Python experience and some exposure to LLM integration, which partially match the Agentic Python Engineer focus. However, it does not see explicit Django/Flask/FastAPI, CI/CD, or named AI engineering tools like Codex/Claude Code, so several key requirements look unmet. Overall this yields a mid-range score with good core language fit but missing specialized tooling signals. **Strengths:** Strong Python background applied to trading algorithms and automation tools, Experience building an LLM-integrated job market intelligence tool, Ability to work independently and own systems end to end **Missing Required:** Experience with Python web frameworks such as Django, Flask, or FastAPI, Demonstrated use of AI engineering tools (e.g., OpenAI Codex, Claude Code, Gemini CLI), Hands-on AI-assisted or agentic development workflows orchestrating model-produced code, Experience creating and maintaining CI/CD pipelines

[ANALYSIS_REPORT] **LOW** [3-Flash] Pleno/Senior .NET role. Candidate lacks C#/.NET stack. **Strengths:** PostgreSQL, Docker, Keycloak knowledge **Critical Gaps:** No .NET experience **Missing Required:** .NET

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This Microsoft Dynamics Developer role mandates an up-to-date Dynamics 365 Finance and Operations Apps Developer Associate certification and deep D365 F&O experience, neither of which appears on the resume. ATS will treat the lack of the named certification and product experience as hard blockers. Adjacent ERP experience with TOTVS is not sufficient to overcome these strict requirements. **Strengths:** Deep hands-on ERP experience with TOTVS including schema analysis and data remediation, Strong troubleshooting and problem-solving skills in production ERP environments, Ability to collaborate with functional and technical stakeholders **Critical Gaps:** Specialized Dynamics 365 Finance & Operations development and customization background **Missing Required:** Microsoft Certified: Dynamics 365 Finance and Operations Apps Developer Associate, Strong experience developing and customizing Dynamics 365 F&O solutions, Hands-on experience designing and maintaining integrations using Azure Data Factory, Experience using Microsoft Lifecycle Services (LCS)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This Senior ServiceNow Developer role requires multiple specific ServiceNow certifications (CSA, CAD, CIS ITSM) and 10+ years of ServiceNow platform development, which are entirely absent from the resume. ATS will strongly filter on those certification keywords and platform experience. The candidate’s background is in general systems and ERP, not in ServiceNow. **Strengths:** Strong JavaScript-adjacent logic and scripting experience via automation projects (inferred), Experience with complex enterprise operations and processes, Good communication and documentation skills from cross-functional roles **Critical Gaps:** ServiceNow platform specialization and long-term implementation experience **Missing Required:** ServiceNow CSA (Certified System Administrator) certification, ServiceNow CAD (Certified Application Developer) certification, ServiceNow CIS ITSM (Certified Implementation Specialist) certification, 10+ years of hands-on ServiceNow development and configuration

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This Lead/Staff QA Automation role for games expects C#, Unreal/Unity, CI/CD, cloud orchestration, and prior game or mobile automation frameworks, none of which are present. The resume instead shows Python/Node, ERP, and operational automation, which are adjacent but not in the same domain. ATS will therefore treat the match as weak and off-target. **Strengths:** Strong Python experience that could translate to tooling, History of building automation systems to verify and stabilize operations, Experience collaborating across multiple teams and clarifying requirements **Missing Required:** Proficiency in C# for automation frameworks, Experience working with game engines such as Unreal or Unity, Background building automation or development frameworks for games or mobile applications, Experience designing cloud-based build and test infrastructure

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] The Research Data Scientist role demands advanced ML techniques (Transformers, RL), TensorFlow/PyTorch/Scikit-learn, and typically a Master’s/PhD, none of which appear on the resume. While the candidate has Python, statistics, and forecasting experience, this is more traditional analytics than modern deep learning R&D. ATS therefore scores this as weak for a research-grade data science role. **Strengths:** Solid Python and statistics background applied to forecasting and demand modeling, Experience designing algorithmic trading strategies and monitoring tools, Ability to handle messy operational data and extract actionable insights **Critical Gaps:** Battery optimization and battery management system modeling experience **Missing Required:** Hands-on experience as a Data Scientist working with software systems, Master’s or PhD in a related quantitative field, Deep understanding of advanced ML techniques such as Transformers and Reinforcement Learning, Proficiency with TensorFlow, Scikit-learn, and PyTorch, Experience building scalable machine learning pipelines and solutions

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] ATS sees Python and AI-adjacent work (LLM integration), which align with an AI Engineer profile, but does not see explicit ML frameworks, model training, or production ML pipelines. The experience is closer to applied automation and systems than to core ML engineering. That yields a moderate score with solid overlap but key technical gaps. **Strengths:** Strong Python skills applied to real automation and analytics problems, Experience integrating LLMs into a job market intelligence tool, Comfort working independently in remote, asynchronous environments **Missing Required:** Hands-on experience building and deploying machine learning models, Experience with machine learning frameworks and libraries, 3+ years of dedicated AI/ML engineering or closely related work

[ANALYSIS_REPORT] **TOP** [3-Flash] Excellent match for Conversational AI/LLM role. Candidate is already building self-hosted LLM clusters, multi-agent systems, and RAG pipelines. ADP Ventures looks for 'builders' which candidate's portfolio proves. Mechatronics degree fits 'Systems Scientist' vibe. **Strengths:** LLM orchestration, Agentic workflows, Production-level AI bots, Strong Python **Critical Gaps:** None significant

[ANALYSIS_REPORT] **LOW** [3-Flash] Research-heavy AI role. Candidate is a 'Product Builder' rather than an 'Applied Researcher'. JD values PhD/Masters and GPU performance modeling, whereas candidate focuses on business automation and orchestration. **Strengths:** Python, GenAI knowledge, English C2 **Critical Gaps:** No scientific/research publication track record **Missing Required:** Research experience in IA/ML

[ANALYSIS_REPORT] **TOP** [3-Flash] Perfect synergy between 'Product Builder' mindset and candidate's trajectory. JD mentions Claude, Gemini, RAG, MCP, and 'Systems Thinking' - all present in candidate's profile. Híbrido in SP/Vila Jaguara is compatible with candidate's location. **Strengths:** AI-First mindset, MCP knowledge, Mechatronics (Systems thinking), Technical-Business bridge **Critical Gaps:** None

[ANALYSIS_REPORT] **TOP** [3-Flash] Rare match where candidate's domain (Finance/Accounting/Tax) perfectly meets their technical skills (RPA/AI/Python). JD asks for automation of accounting processes - exactly what candidate did at Pronutri and Atlas Quantum. **Strengths:** Accounting/Fiscal domain knowledge, Python RPA, Data sanitation expert **Critical Gaps:** None

[ANALYSIS_REPORT] **TOP** [3-Flash] Verity Tech Lead role for AI Agents and SAP integration. Candidate has the Python/LangGraph/MCP stack and the experience leading technical initiatives. Mechatronics background is a huge plus for SAP/Systems integration logic. **Strengths:** LangChain/LangGraph, MCP/A2A architecture, Tech Leadership, Technical-Business bridge **Critical Gaps:** None significant

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This AI-focused Solutions Architect role requires extensive architecture leadership, full-stack TypeScript, MCP, Vercel AI SDK, and complex agentic AI system design, none of which are shown. ATS sees some AI-adjacent work (LLM integration) and general systems design but no direct match to the architecture and tooling keywords. That leaves the profile far from the expected senior architect baseline. **Strengths:** Demonstrated ability to design and implement complex systems in small environments, Experience integrating LLMs into a practical product, Strong ownership mindset and cross-functional communication skills **Critical Gaps:** Enterprise-scale AI solutions architecture background, Experience designing agentic AI systems and orchestration workflows using MCP and related tooling **Missing Required:** 8+ years of professional Solutions Architecture experience, Strong experience designing agentic AI systems and orchestration workflows, Hands-on experience with Model Context Protocol (MCP), Experience developing AI-powered applications using the Vercel AI SDK, Deep full-stack TypeScript/JavaScript proficiency, Experience designing API-first platforms and integrating Salesforce or similar enterprise systems

[ANALYSIS_REPORT] **LOW** [Opencode: Ant:Sonnet4-0] Strong match on automation and systems thinking. Can infer Python, API integration, and LLM usage from current work. Missing formal CS degree and specific frameworks like LangChain, but demonstrates similar capabilities through practical application. **Strengths:** Python, API integration, automation systems **Critical Gaps:** No formal SE title, Requires Sweden relocation **Missing Required:** Computer Science degree, LLM framework experience

[ANALYSIS_REPORT] **TOP** [3-Flash] Strongest cultural and technical match. Early-stage Legaltech founded by EBANX/Contabilizei leaders, valuing 'scrappy' builders and 'vibe coding'. Candidate's experience building production systems from scratch matches their 'Product mindset' perfectly. Location (Curitiba) is compatible for a high-value role. **Strengths:** Entrepreneurial background, Cursor/Windsurf/Claude Code power user, Python/Node expertise, Systems thinking **Critical Gaps:** None (JD explicitly says AI experience not required if broad SE experience exists)

[ANALYSIS_REPORT] **LOW** [Opencode: Ant:Sonnet4-0] Enterprise role with heavy emphasis on M365 Copilot and corporate AI tools. Strong process and governance focus conflicts with candidate's scrappy approach. Missing enterprise AI platform experience and formal engineering background. **Strengths:** AI automation concept, Business process understanding, Cross-functional collaboration **Critical Gaps:** No enterprise software experience, Missing corporate AI platform knowledge **Missing Required:** M365 Copilot experience, Enterprise AI deployment

[ANALYSIS_REPORT] **HIGH** [3-Flash] AI Engineering Supervisor at EY BeyondLabs. Skills match well (GenAI, Python, LangChain, RAG). Bottleneck is the 'Supervisor/Manager' title requirement and EY's corporate culture (SAFe/Agile red flags), but BeyondLabs is their 'scrappy' unit. **Strengths:** GenAI expertise, Project leadership, English C2 **Critical Gaps:** None

[ANALYSIS_REPORT] **MEDIUM** [Opencode: Ant:Sonnet4-0] Strong alignment on distributed systems thinking and architecture mindset. Can infer relevant experience from self-hosted systems and automation work. Missing specific agent frameworks but demonstrates equivalent system design capabilities. **Strengths:** Systems architecture, Distributed thinking, Technical innovation **Missing Required:** Specific agent frameworks