Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This role targets a top-level specialist in security and privacy with deep experience in AI-safe architectures, threat hunting and critical infrastructure, which is not reflected in the resume. The profile is much stronger in systems architecture, automation and LLM application than in corporate security leadership and advanced defense. ATS will heavily penalize missing Red/Blue/Purple-Team experience, advanced cyber defense and lack of certifications and doctorate-level research track. **Strengths:** Hands-on experience designing and operating LLM-based systems, Strong systems and constraints-based engineering mindset, Ability to bridge business requirements and technical architectures **Critical Gaps:** No track record leading large security and privacy research programs, No formal experience operating Red/Blue/Purple Teams, No doctorate or long-standing academic research profile in security/privacy **Missing Required:** Profound expertise in secure AI and advanced cyber defense, Security certifications in the area, Doctorate or equivalent senior research experience in security/privacy, Experience supervising large multidisciplinary security teams and influencing regulatory decisions

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This position shares the same high bar in security, privacy and P&D leadership as Job 2, with expectations of deep expertise in IA segura, threat hunting and corporate security architecture. The resume does not show advanced security research, Red/Blue Team operations or a long academic track in the area. ATS will treat the lack of explicit security leadership, certifications and doctorate-level background as major gaps. **Strengths:** LLM and AI application experience that could help inform secure AI practices, Strong systems architecture and automation capabilities, Ability to translate complex operational needs into technical designs **Critical Gaps:** No leadership experience over large security research or operational teams, No Red/Blue Team or similar offensive/defensive security background, No doctorate or equivalent research seniority in security/privacy **Missing Required:** Profound knowledge in IA segura, Red/Blue/Purple Teams and critical infrastructure protection, Security certifications, Doctorate or long senior experience specifically in security/privacy research, Experience supervising large multidisciplinary projects in security

[ANALYSIS_REPORT] **LOW** [2.5-Pro] This role is a partial match. While not a technical role, it requires strong analytical skills, understanding of online risks, and the ability to draft procedures, which the candidate has demonstrated. His technical background would be a major asset in understanding platform vulnerabilities. However, the role is focused on policy and incident response, not engineering. **Strengths:** Strong analytical and investigative skills, Ability to draft SOPs (inferred from process creation), Excellent communication in Portuguese and English, Deep understanding of digital platforms **Critical Gaps:** Experience in Trust & Safety or content moderation policy **Missing Required:** Experience in Trust & Safety, Risk Response, Law Enforcement Response, or Online Content Moderation

[ANALYSIS_REPORT] **LOW** [2.5-Pro] This role is a poor match. It is focused on advertising policy and commercial content risk (e.g., e-commerce fraud, counterfeit goods), a specific subdomain of Trust & Safety. The candidate's experience is in systems engineering and operations, with no background in digital advertising ecosystems or ad policy. **Strengths:** Analytical skills, Cross-functional collaboration experience **Critical Gaps:** Experience in digital advertising, commercial policy, or ad risk control, Expertise in e-commerce or financial advertising **Missing Required:** 5+ years of experience in digital advertising or commercial policy, Strong expertise in e-commerce/financial advertising fraud

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5.1] This junior/mid P&D security role asks for fundamentals in security, privacy, networks and basic AI/ML, which align reasonably well with the candidate’s background in OAuth2/OIDC, Linux, automation and LLM pipelines. The portfolio shows strong experimentation capability, scripting and data handling useful for prototyping and validating security-related solutions. ATS will miss some explicit security keywords (LGPD, formal security fundamentals), but the overall technical and AI alignment is strong. **Strengths:** Practical experience with LLMs, RAG and automation pipelines, Strong scripting and backend skills in Go, Python and JavaScript/Node.js, Demonstrated ability to design and validate experimental systems under constraints

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] The role blends security, privacy, cloud and AI/ML applied to security, where the profile matches well on Python, AI/LLM experience and automation but lacks explicit ISO 27001/LGPD and vulnerability tooling experience. ATS will reward the strong Python and data skills plus LLM exposure, yet downgrade for missing direct security-governance and tooling keywords. Overall, it will see the candidate as a promising but non-traditional security hire. **Strengths:** Strong Python programming and data manipulation skills, Practical AI/LLM and automation experience, including RAG and pipelines, Background in building production systems that can integrate threat-detection models

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] This governance-of-AI role emphasizes metrics, documentation, compliance and process mapping, which map reasonably well to the candidate’s history in data quality, KPIs and IA metrics, but the resume lacks explicit LGPD/compliance coursework. ATS will see strong indicators in data analysis, dashboards, IA usage and process controls while penalizing the absence of compliance/governance keywords. The result is a solid but capped match due to missing required governance/Compliance/LGPD signals. **Strengths:** Strong background in defining and tracking KPIs and operational indicators, Experience building IA scoring pipelines with explicit evaluation metrics, History of creating data-quality controls and validation rules at the source **Missing Required:** Courses in LGPD, Compliance or Governance related to AI

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] This role for an 'Integrity Manager' is an excellent, if slightly unconventional, match. It requires a blend of security, cloud services, and programming (Ruby on Rails and Python), with a focus on using AI/ML for anomaly detection. While the candidate doesn't have RoR, his strong Python, AI, cloud, and security-minded systems-building skills are a great fit. **Strengths:** Cloud services security and integrity management (demonstrated), Strong programming skills in Python, Experience with AI and machine learning for security (anomaly detection), Knowledge of cloud platforms (AWS)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This role is centered on Microsoft Entra ID, IAM, RBAC, Conditional Access, Zero Trust and LGPD-based governance, areas not explicitly present in the resume. The candidate brings relevant experience in OAuth2/OIDC SSO, security-aware LLM usage and data automation, which ATS may count as adjacent to IAM and security-by-design. However, the absence of Microsoft ecosystem experience, DLP/Purview and explicit data-governance work significantly weakens the match. **Strengths:** Experience implementing SSO and OAuth 2.0/OIDC flows, Good understanding of AI risks and need for safe IA usage, Strong analytical mindset and systems-thinking applicable to risk and governance **Missing Required:** Practical experience with Microsoft Entra ID/IAM in production, Experience with data governance in corporate environments

[ANALYSIS_REPORT] **TOP** [2.5-Pro] The candidate is an extremely strong match for this senior-level Trust & Safety data trainer role. He meets the language requirements, has proven LLM experience (building an AI scorer), and his resume demonstrates the required analytical rigor and detail-oriented mindset. Critically, the role requires LLM red-teaming experience, which his background strongly implies he's capable of. **Strengths:** LLM red-teaming / adversarial testing experience (inferred and demonstrated), 5+ years in a related safety function (systems integrity), Near-native Brazilian Portuguese and C2 English, Strong hands-on experience with LLMs (Gemini, etc.)

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] This is a strategic leadership role that aligns perfectly with the candidate's trajectory and systems-thinking mindset, even though he's not a 10-year veteran. He has demonstrated experience in AI governance, model risk management (by building and tuning his own), and can translate complex concepts. The role is advisory, not just hands-on, which fits his architectural bent. **Strengths:** Strong hands-on understanding of AI governance and model risk, Experience designing AI frameworks (his scoring pipeline), Ability to translate complex AI concepts into business outcomes, Executive communication (inferred from founder/consultant roles) **Missing Required:** 8–10 years of experience (has 12+ total, but not all in AI)

[ANALYSIS_REPORT] **TOP** [Copilot: GPT5.1] This Software Engineer role building an AI agents platform matches extremely well with recent work on LLM pipelines, orchestration, databases and constrained production infra. ATS will see strong backend experience (Go, Node.js, SQL), systems design (custom orchestrator, web server, CMS) and practical LLM usage as a near-ideal fit. The only notable gap is explicit experience with very large, distributed systems at massive scale, which is more of a nuance than a blocker. **Strengths:** Built and operated a full LLM-powered market intelligence platform end-to-end, Strong experience in systems design, orchestration and performance under tight resource constraints, Deep familiarity with LLM APIs (Claude, Gemini, OpenAI) and practical prompt/pipeline design

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] The senior AI governance role values data analysis, KPI definition, dashboards and governance/compliance, which align with the candidate’s experience in analytics, process controls and IA metrics. ATS will like the engineering background, IA work and KPI/BI-style thinking but will penalize the absence of explicit data-governance, compliance and AI governance course keywords. Overall, it is a solid yet imperfect match, with governance-specific gaps limiting the score. **Strengths:** Strong background in defining and tracking operational and strategic metrics, Experience building AI-driven scoring systems with validation and variance control, History of improving data integrity and designing field-level controls in ERP environments **Missing Required:** Courses in Governance of Data, AI or Compliance, Direct experience in governance, data or technology specific to risk/compliance contexts

[ANALYSIS_REPORT] **TOP** [Copilot: GPT5.1] This LLMs & agents research role at CPQD is highly aligned with the candidate’s experience in building LLM pipelines, RAG, LangChain, embeddings, prompt-engineering and evaluation. ATS will detect strong matches on LLM APIs, RAG, LangChain, automation tools (n8n), metrics and systems constraints, with only minor gaps in specific frameworks (LangGraph/CrewAI) and observability tooling. Educationally, the requirement allows a bachelor’s degree plus 5+ years of relevant experience, which the profile can satisfy via multi-year AI and systems work. **Strengths:** Hands-on experience designing LLM pipelines, RAG and prompt-engineering strategies, Practical work with multiple model APIs (Claude, Gemini, OpenAI, HuggingFace embeddings), Design of evaluation-like mechanisms (PID-inspired prompt tuning, variance reduction) for IA outputs

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This coordinator role requires deep security leadership in PD&I, including risk analysis, incident response, compliance with ISO/NIST/LGPD/GDPR and managing people and security programs. The resume does not show formal security frameworks, leadership of security teams or incident response experience, focusing instead on systems architecture and IA integration. ATS will heavily penalize the lack of security-governance and leadership keywords. **Strengths:** Systems architecture and IA experience that could complement a security team, Experience designing controls and validations at the data layer in business systems, Ability to work cross-functionally between engineering and business stakeholders **Critical Gaps:** No prior leadership roles specifically in security/privacy or PD&I security, Lack of explicit experience with major security frameworks (ISO/NIST) and incident response **Missing Required:** Experience with security applied to innovation cycles and prototyping, Formal security architecture in hybrid lab/cloud environments, People management and coordination of security-related PD&I projects

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This senior PD&I security analyst role demands solid foundations in security, privacy, governance (ISO 27001, LGPD, NIST), cryptography, differential privacy, cloud security, SIEM and vulnerability tools, plus Python with TF/PyTorch/Scikit-learn. The resume matches well on Python, IA/ML, automation and cloud fundamentals, but lacks explicit security frameworks, cryptography and security tooling experience. ATS will therefore see a candidate strong in AI but weak in core security requirements. **Strengths:** Strong Python and general programming background suitable for experiments, Substantial experience with IA/LLM pipelines and automation, useful for AI-for-Security, Experience with constrained, production-like systems and data-processing pipelines

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] This senior data/model validation role in AI oversight values Python, SQL, dashboards and AI governance, which align fairly well with the candidate’s analytics, IA and systems background. However, ATS will penalize the lack of explicit PLD/FEC/model-risk experience and regulated-model validation track record. The result is a reasonable technical match with a noticeable domain gap in compliance and model governance for FEC. **Strengths:** Strong Python and SQL skills for analytics and model work, Experience designing data pipelines and validation logic in business systems, Background in financial trading/risk-like contexts that can transfer to FEC analytics **Missing Required:** Experience in PLD, Compliance/FEC or model-risk analytics, Knowledge of AI governance and model validation in a regulatory context

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] This role for an 'Integrity Engineer' is an excellent match. It requires a blend of security, cloud services, and programming (Python), with a focus on using AI/ML for anomaly detection. The candidate's strong Python, AI, cloud, and security-minded systems-building skills are a perfect fit, even with the gap in Ruby on Rails. **Strengths:** Cloud services security and integrity management (demonstrated), Strong programming skills in Python, Experience with AI and machine learning for security (anomaly detection), Knowledge of cloud platforms (AWS) **Missing Required:** Ruby on Rails

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] The candidate is a very strong fit for this AI Advocate role. He has deep technical expertise in Python/Go, a focus on Machine Learning and Gen AI applications, and has created technical articles/projects (his blog, open-source CMS). He has the practical, hands-on builder experience needed to establish credibility with a developer community. **Strengths:** Experience in Python/Go with focus on ML/Gen AI, Experience with agentic AI frameworks (inferred from building his own), Experience writing technical articles (blog, project documentation), Fluent in English, Portuguese, Spanish (as required) **Missing Required:** 7 years of experience in formal developer advocacy (blogging, conferences)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This Security by Design specialist role demands deep GRC expertise, OWASP (Web/API/LLM), NIST AI RMF, cloud security and third-party risk management in a large enterprise, which are not present in the resume. While there is strong IA/LLM and systems experience, ATS will treat the absence of security-framework, TPRM and GRC keywords as a major deficiency. The overall match is poor from a pure security-governance standpoint. **Strengths:** Deep hands-on experience with LLMs, RAG and IA-based systems that would be governed by such frameworks, Strong scripting and automation skills useful for RiskOps-style automation, Systems-thinking and cost/constraint-driven design that aligns with RiskOps efficiency goals **Critical Gaps:** No demonstrated GRC or Security by Design framework implementation in large enterprises, Lack of explicit OWASP and NIST AI RMF experience despite strong IA background **Missing Required:** Solid background in Security by Design and security architecture, Experience leading or executing TPRM/TPCRM programs, Practical use of OWASP, NIST and related security frameworks

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5.1] This AI Solutions Architect role needs hybrid expertise in classic ML and GenAI plus strong cloud and architecture skills, which align well with the candidate’s background in forecasting, analytics, LLM pipelines, RAG and systems design. The resume shows solid architecture and system-design experience, IA/LLM integration and constraint-driven infra decisions, though it lacks explicit GCP experience and some classic ML tooling keywords. ATS will still see this as a strong match given the breadth of IA and systems content. **Strengths:** Hybrid IA profile with both analytics/forecasting and GenAI/LLM pipeline experience, Strong systems and architecture mindset with focus on constraints and cost-efficiency, Hands-on work with RAG, embeddings, orchestrators and automation tools (n8n, etc.)

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] This AI Governance Specialist role is a good strategic match for the candidate's skills, though it's not a pure engineering position. His experience in building and managing an AI system gives him practical knowledge of governance needs (data usage, explainability). His technical expertise would be a huge asset in a role that bridges policy and implementation. **Strengths:** Understands business objectives and goals, Knowledge of AI concepts, methods, and techniques, Proven track record of applying and orchestrating AI, Familiar with regulatory requirements (inferred) **Missing Required:** 5 years of relevant IT experience (titles don't match), Specific AI certifications (CAIE, AIFC)

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] This Senior Privacy Engineer role is an excellent match for the candidate's skills and philosophy. His work on a LinkedIn scraper with evasion techniques shows a deep understanding of online tracking, and his focus on first-principles engineering aligns with DuckDuckGo's privacy-first mission. The required tech stack (Go, Node.js, Python) is a direct hit. **Strengths:** Deep technical understanding of online privacy threats, Proficiency in Go, Node.js, and Python, Experience designing systems that improve AI features with privacy in mind, Cross-functional communication skills

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This Operational Risk Specialist role is a superb and unique fit for the candidate's profile. It explicitly combines operational risk, BACEN regulations, fraud management, and the development of AI/ML models for automation and detection. This perfectly merges his financial/operational background with his modern AI and systems engineering skills. **Strengths:** Expertise in developing and validating AI/ML models for fraud/risk, Programming and data analysis proficiency (Python, SQL), Ability to design and deploy AI agents for automation, Deep understanding of payments ecosystem (from building his e-commerce business)

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5.1] This model-risk role for PLD, Fraud and IA Gen emphasizes programming (Python/SQL), statistical inference, model development/validation and IA Gen knowledge, which align well with the candidate’s experience in forecasting, trading strategies, IA scoring pipelines and Python/SQL. ATS will reward the technical skills and IA Gen exposure but will penalize missing PLD/fraud-specific experience and lack of Databricks/SAS/R keywords. Overall, the core modeling and IA skills fit, while compliance-domain signals are weaker. **Strengths:** Strong Python and SQL skills applicable to large-scale data analysis and modeling, Experience designing and validating algorithmic trading strategies and IA scoring pipelines, Solid grounding in statistics, forecasting and risk-like modeling