Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This fellowship is strictly targeted at PhDs with recent defenses and strong research backgrounds in AI (vision, pattern recognition, LLMs) with C# integration. While the candidate has practical AI and systems experience, there is no doctorate or C# history in the resume. ATS will treat the lack of PhD and C#/research-track keywords as major deficiencies. **Strengths:** Solid Python and IA/LLM background that is conceptually relevant, Experience with data pipelines and real-time-like systems (trading, scraping), Strong systems-thinking and experimentation mindset **Missing Required:** Completed doctorate within the last five years, Fluency in C# and integration of AI models into .NET ecosystems

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This fellowship targets PhDs with advanced expertise in computer vision, signal processing and potentially quantum computing for biometric security, with a strong academic research focus. The resume does not show a doctorate, advanced computer-vision research or quantum-computing experience. ATS will see only partial overlap in IA and Python, which is far below the bar for this research-heavy role. **Strengths:** Strong applied IA and systems background useful in industry but not this research niche, Experience coding in Python and working with ML/LLM pipelines, Ability to operate end-to-end systems, from data collection to serving **Critical Gaps:** No doctorate or research-track experience in computer vision or quantum computing, No demonstrated work in biometric systems or security research **Missing Required:** Doctorate in Computer Science with relevant research, Experience in advanced vision-based biometrics and related IA models

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] This senior RiskOps Analyst role looks for strong fraud-prevention, real-time threat monitoring, cyber-attack knowledge and coding/SQL skills. The resume matches well on Python, data analysis and IA/LLM integration, but lacks explicit fraud-monitoring, incident-investigation and attack-defense experience. ATS will therefore see a decent technical match but a weaker domain fit in fraud and security operations. **Strengths:** Strong coding skills in Python and comfort with automation, Solid data-analysis and risk-like modeling background from trading and analytics, IA/LLM experience that can be applied to next-generation antifraud workflows **Missing Required:** Experience specifically in fraud-prevention or closely related areas

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5.1] This Data Scientist II role in AML modeling values Python, statistics, predictive modeling and SQL, all strongly present in the resume via forecasting, algorithmic trading and IA-scoring work. ATS will rate the technical match highly, though it will note the absence of explicit AML/PLD experience, scikit-learn/pandas keywords and Tableau. Overall, the candidate looks like a strong data scientist with a weaker compliance/AML domain record. **Strengths:** Solid Python programming and statistical analysis skills, Experience designing and iterating on predictive/trading strategies and IA scoring pipelines, Background in finance-related domains that can transfer to AML risk contexts

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] ATS finds partial matches on Python, SQL, KPI design, automation, and data pipelines, but the role demands deep MLOps/Observability specialization, Responsible AI certifications, and model monitoring experience (drift, bias, explainability) that the candidate lacks. Required advanced courses in AI Governance and MLOps are missing. The candidate's ERP governance and data quality work provides weak transferable signal but not in the ML model governance domain the JD demands. **Strengths:** Python and SQL presence, KPI design and process automation experience, Data quality and validation expertise from ERP work **Critical Gaps:** No MLOps or model observability experience, No AI governance framework experience **Missing Required:** Advanced courses in AI Governance, MLOps/Observability experience, Model monitoring and bias detection, BI visualization tools (Power BI/Tableau)

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Candidate lacks formal Software Engineer titles and C++/Java experience required by traditional FAANG ATS. High risk of auto-rejection due to non-traditional career path. Score capped by missing skills. **Strengths:** Python, Go, Distributed Systems **Missing Required:** 2 years SWE title

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] ATS detects Python, SQL, and financial domain experience, but the role requires senior-level Data Science/ML expertise with scikit-learn, PySpark, supervised/unsupervised model building, anomaly detection, and feature engineering — none of which the candidate demonstrates at the required depth. The candidate has financial background (positive for PLD/AML domain) but has never built ML models or worked as a Data Scientist. Engineering degree provides partial match on 'Engenharia' requirement. **Strengths:** Financial domain background (transferable to PLD/AML), Python and SQL skills, Business-to-technical translation ability **Critical Gaps:** No Data Science or ML model building experience, No experience with classification/regression/clustering models **Missing Required:** Senior Data Science/ML experience, ML libraries (scikit-learn, PySpark), Model building and evaluation experience, Feature engineering

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] BairesDev is flagged as a strong culture red flag (big consulting body shop). Additionally, the role requires 5+ years as a developer and 3+ years as a Data Scientist/Data Engineer — the candidate has zero years with either title. ATS would detect no matching job titles and insufficient years of professional experience in the required domains. **Strengths:** Advanced English (C2), Data quality and pipeline concepts, Python and SQL **Critical Gaps:** No professional developer or data engineer title **Missing Required:** 5+ years as developer, 3+ years as Data Scientist/Data Engineer

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] BairesDev is flagged as a strong culture red flag (big consulting body shop). The role requires professional Golang engineering experience with microservices, automated testing, CI/CD pipelines, SQL/NoSQL databases, and cloud infrastructure. While the candidate has built a production Go webserver and orchestrator, BairesDev's process expects verifiable professional engineering experience with formal titles and years of practice. **Strengths:** Production Go experience (webserver + orchestrator), Docker and CI/CD knowledge, SQL/PostgreSQL experience, Advanced English (C2) **Critical Gaps:** No professional software engineer title **Missing Required:** Professional Golang engineering experience with formal title, Strong version control + testing experience (professional context)

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] The role demands a proven Enterprise/Corporate Architect with telecom sector experience, OSS (Operational Support Systems) expertise, Amdocs billing solutions knowledge, and experience in large-scale integration design. The candidate has systems architecture thinking but in completely different domains (e-commerce, supply chain). Telecom OSS and Amdocs billing are highly specialized — no transferable experience exists. The role is deeply enterprise and governance-focused. **Strengths:** Systems thinking and architecture mindset, Business-to-technical translation, Engineering degree **Critical Gaps:** No telecom industry experience, No enterprise architecture or solution architecture title/experience, No OSS or billing system experience **Missing Required:** Proven Enterprise/Solution Architect experience, Telecom sector experience, OSS solutions knowledge, Amdocs billing knowledge

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] Duplicate BairesDev Golang Engineer posting. Same analysis as Job 4 applies — BairesDev is a strong culture red flag and their rigid process requires professional engineering titles the candidate does not hold. **Strengths:** Production Go experience (webserver + orchestrator), Docker and CI/CD knowledge, SQL/PostgreSQL experience, Advanced English (C2) **Critical Gaps:** No professional software engineer title **Missing Required:** Professional Golang engineering experience with formal title, Strong version control + testing experience (professional context)

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Role requires deep expertise in Microsoft Dynamics 365 and Power Apps, which the Candidate completely lacks. This is a critical domain gap that cannot be inferred. ATS will immediately score this low. **Strengths:** JavaScript, APIs **Critical Gaps:** Microsoft Dynamics 365, Power Apps, Dataverse **Missing Required:** Dynamics 365 experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] This is an AWS Solutions Architect Pre-Sales role requiring mandatory AWS Solutions Architect certification (Associate or Professional). The candidate holds no AWS certifications. This is a hard filter — legally/professionally required certification missing triggers score 0. Beyond the certification, the role demands deep AWS service expertise, IaC (Terraform/CloudFormation), FinOps modeling, and pre-sales experience — all areas where the candidate has minimal or no experience. **Strengths:** Systems thinking, Cost optimization mindset, Technical communication ability **Critical Gaps:** Missing mandatory AWS SA certification, No pre-sales or solutions architect experience **Missing Required:** AWS Solutions Architect certification (mandatory), Solid AWS architecture experience, IaC (Terraform/CloudFormation), Pre-sales experience

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Recruiting agencies use rigid keyword matching, and the Candidate lacks Django and formal Python Developer titles. The 'Senior' title requirement will trigger ATS gatekeeping. **Strengths:** Python, SQL, CI/CD **Missing Required:** 5+ years Python and Django development, Senior Python Developer title

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Candidate lacks modern C++17+, Apache Arrow, and low-level memory management experience. This is a critical technical gap for a performance-critical systems role. **Strengths:** Python, Concurrency logic **Critical Gaps:** C++ concurrency and memory management **Missing Required:** Strong experience with modern C++

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Missing core required technologies like Snowflake and enterprise-scale AWS data modeling. Lack of formal Data Engineer titles will also negatively impact ATS parsing. **Strengths:** Python, PostgreSQL, Data pipelines **Missing Required:** 6+ years Data Engineering title, Strong experience with Snowflake

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] ATS detects SQL, Python, and some AWS/pipeline keywords, but the role demands deep specialization in PySpark/Spark SQL, data warehousing (Snowflake), Apache Iceberg, Kimball dimensional modeling, AWS EMR/S3/Glue, and Airflow orchestration — a very specific data engineering stack. The candidate has built data pipelines and works with PostgreSQL/SQL, but has no experience with the enterprise data engineering ecosystem (Spark, Snowflake, Iceberg, EMR, Airflow). Fluent English is a match. **Strengths:** Fluent English (C2), SQL and Python skills, Data pipeline concepts from scraping/scoring platform **Critical Gaps:** No Spark/PySpark experience, No data warehouse experience (Snowflake or equivalent) **Missing Required:** 3+ years SQL data engineering (has SQL but not in DE context), PySpark experience, Snowflake or cloud data warehouse, Kimball modeling knowledge, AWS data services (EMR, S3, Glue)

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Duplicate posting of Job ID 4376440344. Candidate lacks modern C++17+ and memory management experience. **Strengths:** Python, Concurrency logic **Critical Gaps:** C++ concurrency and memory management **Missing Required:** Strong experience with modern C++

[ANALYSIS_REPORT] **HIGH** [Opencode: google/gemini-3.1-pro-preview] Strong alignment with Python, SQL, and data pipeline requirements. Candidate's experience building LLM evaluation workflows directly applies to the benchmarking tasks. **Strengths:** Python, Data pipelines, LLM Evaluation/Scoring

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] ATS detects some cloud, Linux, Docker/containers, and infrastructure keywords, but the role's core requirement is Datadog experience (stated as mandatory) and observability/APM domain expertise. The candidate has zero experience with Datadog, APM tooling, or observability platforms (Grafana, Elastic, Dynatrace, New Relic, Zabbix). The pre-sales/Solutions Engineer title requirement also has no match in the candidate's history. **Strengths:** Linux and infrastructure knowledge, Docker/containers, Technical communication and business translation **Critical Gaps:** No Datadog experience (stated as mandatory requirement), No observability domain experience **Missing Required:** Datadog knowledge (mandatory), Pre-Sales/Solutions Engineer experience, Observability solutions experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] ATS detects cloud, systems architecture, and integration keywords. The candidate's systems thinking, architecture mindset, and business-technical translation are conceptually relevant. However, the role requires proven experience as a Software/Solutions Architect with cloud environments, specifically for Banco VW's CMS program — an automotive banking context with integration architecture, governance committees, and global team interaction. The candidate lacks formal architect title experience and enterprise cloud architecture work. **Strengths:** Systems architecture thinking demonstrated in projects, Business-technical translation ability, Engineering degree **Critical Gaps:** No formal 'Architect' title in work history **Missing Required:** Experience as Software Architect or technical reference, Solid systems architecture experience (enterprise), Cloud environment experience (enterprise), English for global team communication

[ANALYSIS_REPORT] **MEDIUM** [Opencode: google/gemini-3.1-pro-preview] Excellent match for Go/Python and high-throughput pipelines, proven by Candidate's custom Go orchestrator. Score is slightly capped by missing explicit Data Build Tools (dbt) experience. **Strengths:** Go, Python, Distributed Systems Inference

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] ATS detects some cloud and infrastructure keywords, but this role is a Data Center Solutions Architect focused on pre-sales for hybrid cloud, VMware, Kubernetes, cybersecurity, storage, and networking — a deeply infrastructure-focused role requiring DC architecture expertise. The candidate has minimal infrastructure experience (basic Linux/Docker) and zero experience with VMware, cybersecurity, firewalls, storage, networking, or data center operations. The pre-sales/consultative relationship aspect also has no match. **Strengths:** Basic cloud awareness (AWS fundamentals), English desirable and candidate has C2 **Critical Gaps:** No data center or infrastructure architecture experience, No VMware/networking/storage/security experience **Missing Required:** Data center and hybrid cloud architecture knowledge, VMware experience, Kubernetes/microservices/serverless experience, Cybersecurity and firewall knowledge, Pre-sales and client-facing experience

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-6] ATS detects Python, SQL, PostgreSQL, data pipelines, automation, APIs, and Git — meaningful matches. The candidate has built data pipelines (scraping + scoring + orchestration), works with SQL/PostgreSQL, uses Python, and has API integration experience. However, the role specifically requires AWS Athena, Apache Iceberg, DBT, Kestra/Airflow, QuickSight/Metabase, and S3 data structures — specific tools the candidate hasn't used. The candidate's portfolio/GitHub and project demonstrations align with the JD's explicit request for proof-of-work. The company (LETS) is a growing startup emphasizing modern tools and AI, with PJ/remote model. **Strengths:** Python, SQL, PostgreSQL — direct matches, Data pipeline building demonstrated (scraper + scorer + orchestrator), AI/LLM integration experience matches 'IA/MCP' requirement, Portfolio/GitHub available as requested in JD, API integration and automation experience **Missing Required:** AWS Athena and S3 experience, Apache Iceberg or similar, DBT experience, Orchestration tools (Kestra/Airflow), BI tools (QuickSight/Metabase)

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] ATS detects Python, RAG, LangChain, embeddings, HuggingFace, and API integration keywords. However, this role demands a Master's degree in AI/CS (hard requirement), 5+ years in ML/LLMs, deep expertise in TensorFlow/PyTorch, MLOps (Kubeflow/MLflow), model optimization (quantization/LoRA/fine-tuning), GPU/multi-node inference, vector databases (FAISS/Pinecone), and cloud AI platforms (SageMaker/Vertex AI). The candidate has surface-level AI tool usage (API calls, prompt engineering) but no ML model training, fine-tuning, or deployment experience at the level required. **Strengths:** RAG concept knowledge, LangChain listed in skills, Prompt engineering experience, API integration with LLMs **Critical Gaps:** No Master's degree (hard requirement), No ML model training/fine-tuning experience, No MLOps experience **Missing Required:** Master's degree in AI/CS/Data Engineering, 5+ years ML/LLM experience, TensorFlow/PyTorch, MLOps tooling, Model optimization techniques, Cloud AI platforms