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My highly optimized ATS & AI‑market resume for international job applications.
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Roberto Junior - Software Engineer</title> | |
| <style> | |
| * { | |
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| body { | |
| font-family: Arial, sans-serif; | |
| line-height: 1.3; | |
| color: #000; | |
| background: #f5f5f5; | |
| font-size: 10.5pt; | |
| } | |
| .container { | |
| max-width: 210mm; | |
| margin: 0 auto; | |
| background: #fff; | |
| padding: 0.75in; | |
| min-height: 297mm; | |
| position: relative; | |
| } | |
| @media print { | |
| body { | |
| background: #fff; | |
| } | |
| .container { | |
| padding: 0.5in; | |
| margin: 0; | |
| } | |
| } | |
| /* Header */ | |
| .header { | |
| text-align: center; | |
| margin-bottom: 16px; | |
| border-bottom: 1px solid #000; | |
| padding-bottom: 8px; | |
| } | |
| .header h1 { | |
| font-size: 20pt; | |
| font-weight: bold; | |
| margin-bottom: 4px; | |
| letter-spacing: 1px; | |
| } | |
| .header .title { | |
| font-size: 11pt; | |
| margin-bottom: 6px; | |
| font-weight: normal; | |
| } | |
| .contact { | |
| font-size: 9.5pt; | |
| line-height: 1.4; | |
| } | |
| .contact a { | |
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| .contact a:hover { | |
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| /* Section Headers */ | |
| .section { | |
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| margin-bottom: 6px; | |
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| padding-bottom: 2px; | |
| } | |
| /* Summary */ | |
| .summary { | |
| text-align: justify; | |
| line-height: 1.4; | |
| } | |
| /* Skills */ | |
| .skills-grid { | |
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| .skill-category { | |
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| .skill-category strong { | |
| font-weight: bold; | |
| } | |
| /* Experience */ | |
| .job { | |
| margin-bottom: 10px; | |
| } | |
| .job-header { | |
| display: flex; | |
| justify-content: space-between; | |
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| .job-title-company { | |
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| } | |
| .job-date { | |
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| font-size: 9.5pt; | |
| color: #333; | |
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| .job-position { | |
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| font-size: 10pt; | |
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| /* Projects */ | |
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| /* Education */ | |
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| font-size: 9.5pt; | |
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| .education-degree { | |
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| /* Metrics highlighting */ | |
| strong.metric { | |
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| } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="container" id="resume-container"> | |
| <!-- Header --> | |
| <div class="header"> | |
| <h1>ROBERTO JUNIOR</h1> | |
| <div class="title">Senior Software Engineer</div> | |
| <div class="contact"> | |
| <a href="mailto:robertojuniordev@gmail.com">robertojuniordev@gmail.com</a> | | |
| <a href="https://linkedin.com/in/robertojrcdc" target="_blank">linkedin.com/in/robertojrcdc</a> | | |
| <a href="https://github.com/robertokbr" target="_blank">github.com/robertokbr</a> | | |
| <a href="https://berolab.app" target="_blank">berolab.app</a> | |
| </div> | |
| </div> | |
| <!-- Professional Summary --> | |
| <div class="section"> | |
| <div class="section-title">Professional Summary</div> | |
| <div class="summary"> | |
| Full-stack Senior Software Engineer with <strong>6+ years</strong> building AI-powered applications, scalable distributed systems, and high-performance data pipelines. Proven expertise architecting <strong>production RAG (Retrieval-Augmented Generation) systems</strong> with <strong>vector databases (Qdrant, pgvector, Weaviate, FAISS)</strong>, <strong>LLM integration (OpenAI GPT-4, Anthropic Claude)</strong>, <strong>document ingestion, chunking, embeddings generation, and semantic retrieval</strong> achieving <strong>40% conversion increase</strong> and <strong>60% support reduction</strong>. Professional-level proficiency in <strong>TypeScript + React</strong> (component testing with Jest/Vitest/React Testing Library), <strong>Node.js/TypeScript backend</strong> (REST/GraphQL APIs, auth, caching), and <strong>PostgreSQL</strong> (schema design, performance optimization). Deployed AWS cloud infrastructure (Lambda, ECS, S3, CloudWatch) with <strong>Docker containers</strong> and <strong>CI/CD pipelines</strong> (GitHub Actions, Vercel). Architected ETL pipelines processing <strong>10M+ records daily</strong>, led teams of <strong>8+ engineers</strong>, scaled SaaS to <strong>$50K+ MRR</strong>, and leveraged AI-assisted development to ship features <strong>3x faster</strong>. | |
| </div> | |
| </div> | |
| <!-- Technical Skills --> | |
| <div class="section"> | |
| <div class="section-title">Technical Skills</div> | |
| <div class="skills-grid"> | |
| <div class="skill-category"><strong>AI & Data:</strong> RAG (Retrieval-Augmented Generation), Vector Databases (Qdrant, pgvector, Weaviate, FAISS), LLM Integration (GPT-4, Claude), Embeddings, Document Chunking, Semantic Search, Prompt Engineering</div> | |
| <div class="skill-category"><strong>Languages & Frameworks:</strong> TypeScript, JavaScript, Node.js (Nest.js, Express.js), Go (Golang), Python, React, Next.js, Prisma ORM, tRPC</div> | |
| <div class="skill-category"><strong>Data & Infrastructure:</strong> PostgreSQL, MongoDB, Redis, Elasticsearch, Kafka, Apache Airflow, GraphQL, REST APIs, WebSockets</div> | |
| <div class="skill-category"><strong>Cloud & DevOps:</strong> AWS (Lambda, ECS, S3, RDS, CloudWatch), Docker, Kubernetes, Terraform, CI/CD (GitHub Actions, Vercel), Observability (OpenTelemetry, ELK)</div> | |
| <div class="skill-category"><strong>Testing & Practices:</strong> Jest, Vitest, React Testing Library, TDD, Agile/Scrum, Technical Leadership, Microservices, Event-Driven Architecture</div> | |
| </div> | |
| </div> | |
| <!-- Professional Experience --> | |
| <div class="section"> | |
| <div class="section-title">Professional Experience</div> | |
| <div class="job"> | |
| <div class="job-header"> | |
| <div class="job-title-company">BeroLab</div> | |
| <div class="job-date">July 2025 - Present</div> | |
| </div> | |
| <div class="job-position">Founder & Lead Engineer</div> | |
| <ul> | |
| <li>Architected and deployed <strong>production RAG (Retrieval-Augmented Generation) system</strong> using <strong>Qdrant vector database</strong>, GPT-4 API, custom document chunking/ingestion pipeline, semantic embeddings, and <strong>retrieval evaluation/optimization loops</strong> achieving <strong>40% conversion rate increase</strong>, <strong>85% answer accuracy</strong>, and <strong>60% reduction in support queries</strong></li> | |
| <li>Built full-stack SaaS platform with <strong>Go backend, Next.js 14/React/TypeScript frontend, PostgreSQL + Prisma, Redis, tRPC</strong>; implemented <strong>comprehensive testing</strong> (Vitest, Jest, React Testing Library) with <strong>80%+ coverage</strong>, scaling to <strong>500+ paying subscribers</strong>, <strong>6,000+ users</strong>, and <strong>$50K+ MRR</strong></li> | |
| <li>Leveraged <strong>AI-assisted development</strong> (Claude Code, Copilot, MCP) to ship features <strong>3x faster (2-3 days vs. 1-2 weeks)</strong>; implemented <strong>CI/CD (GitHub Actions, Vercel)</strong>, payment processing (Hotmart), and gamification driving <strong>75% retention</strong></li> | |
| </ul> | |
| </div> | |
| <div class="job"> | |
| <div class="job-header"> | |
| <div class="job-title-company">Otus</div> | |
| <div class="job-date">September 2022 - August 2025</div> | |
| </div> | |
| <div class="job-position">Senior Software Engineer</div> | |
| <ul> | |
| <li>Engineered high-volume <strong>ETL data pipeline</strong> (<strong>Nest.JS, PostgreSQL, Kafka</strong>) processing <strong>10M+ records daily</strong> from thousands of K-12 schools with <strong>99.9% accuracy</strong>, enabling real-time analytics for <strong>500+ districts</strong> nationwide</li> | |
| <li>Architected <strong>Clever API integration</strong> handling millions of student/faculty records (<strong>sub-500ms latency</strong>), unlocking <strong>$2M+ ARR</strong> enterprise segment and accelerating sales cycle by <strong>40%</strong></li> | |
| <li>Built <strong>20+ production ETL workflows</strong> (<strong>Python, Airflow DAGs, GraphQL</strong>) cutting ingestion time <strong>6 hours → 90 minutes (60% faster)</strong>, eliminating <strong>40+ hours/week manual work</strong>, saving <strong>$120K annually</strong></li> | |
| </ul> | |
| </div> | |
| <div class="job"> | |
| <div class="job-header"> | |
| <div class="job-title-company">Nickelpay</div> | |
| <div class="job-date">June 2021 - August 2022</div> | |
| </div> | |
| <div class="job-position">Tech Lead</div> | |
| <ul> | |
| <li>Led <strong>8+ engineers</strong> delivering fintech MVP <strong>2 weeks ahead of 6-month deadline</strong>; spearheaded <strong>AWS migration</strong> (EC2, RDS, S3, Terraform) cutting deployment <strong>4hrs → 45min (75%)</strong> and saving <strong>$15K/month</strong></li> | |
| <li>Architected fault-tolerant <strong>Golang microservice</strong> for payment batch processing (<strong>100K+ daily transactions, 99.9% uptime, sub-200ms latency, PCI-DSS compliant</strong>) handling <strong>$10M+ monthly volume</strong></li> | |
| <li>Built <strong>5+ event-driven microservices</strong> (<strong>Express.js, Prisma, MongoDB, Kafka</strong>) for payment authorization and fraud detection supporting <strong>50K+ users</strong>, preventing <strong>$200K+ fraud losses</strong></li> | |
| <li>Remediated <strong>15+ critical security vulnerabilities</strong> achieving <strong>SOC 2 compliance</strong>; implemented observability stack (OpenTelemetry, ELK) reducing MTTR <strong>2hrs → 15min</strong></li> | |
| </ul> | |
| </div> | |
| <div class="job"> | |
| <div class="job-header"> | |
| <div class="job-title-company">Gama Academy</div> | |
| <div class="job-date">August 2020 - June 2021</div> | |
| </div> | |
| <div class="job-position">Software Engineer</div> | |
| <ul> | |
| <li>Re-architected monolithic backend to <strong>Nest.JS microservices + PostgreSQL</strong> improving API response <strong>1.5s → 400ms (3x faster)</strong>, scaling from <strong>10K to 35K+ users (250% growth)</strong></li> | |
| <li>Built <strong>4+ AWS serverless microservices</strong> (Lambda, API Gateway, SQS, DynamoDB) including Stripe payment gateway processing <strong>$500K+ monthly revenue (99.95% success rate)</strong> and WebSocket chat (<strong>15K+ daily messages</strong>)</li> | |
| <li>Designed Redis caching and query optimization reducing DB load by <strong>60%</strong>, AWS costs by <strong>$8K/month</strong>; implemented testing (Jest) achieving <strong>85% coverage</strong>, cutting production incidents <strong>55%</strong></li> | |
| </ul> | |
| </div> | |
| <div class="job"> | |
| <div class="job-header"> | |
| <div class="job-title-company">Fluency Academy</div> | |
| <div class="job-date">March 2019 - August 2020</div> | |
| </div> | |
| <div class="job-position">Software Engineer</div> | |
| <ul> | |
| <li>Architected <strong>microservices ecosystem</strong> for AI-powered speech recognition (<strong>Node.js, TypeScript, React</strong>) serving <strong>5,000+ students</strong> across <strong>50+ institutions</strong>, improving pronunciation scores by <strong>35%</strong></li> | |
| <li>Built centralized API gateway integrating <strong>Google Speech-to-Text, translation, and dictionary APIs</strong> (<strong>Express.js, TypeORM, PostgreSQL</strong>) processing <strong>100K+ requests/month</strong> with <strong>99.5% uptime</strong></li> | |
| <li>Developed speech analysis algorithm achieving <strong>85% accuracy vs. human evaluators</strong>, deployed via <strong>Next.js REST API</strong> handling <strong>50K+ assessments/month</strong></li> | |
| </ul> | |
| </div> | |
| </div> | |
| <!-- Education & Languages --> | |
| <div class="section"> | |
| <div class="section-title">Education & Languages</div> | |
| <div class="education-item"> | |
| <strong>Bachelor's Degree in Computer Science</strong> | UNAMA (Universidade da Amazônia) | 2017 - 2021 | |
| </div> | |
| <div class="education-item" style="margin-top: 4px;"> | |
| <strong>Languages:</strong> English (Fluent - Professional Working Proficiency), Portuguese (Native) | |
| </div> | |
| </div> | |
| </div> | |
| </body> | |
| </html> |
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