[{"data":1,"prerenderedAt":150},["ShallowReactive",2],{"$f1pflm0lBjC1YxNC8nL1zGMAvW40NgoGjYwgnGBaUr6U":3},[4,26,44,63,81,100,117,134],{"id":5,"category":6,"specialty":7,"title":8,"yearsOfExperience":9,"summary":10,"selectedWork":11,"skills":12,"intro":18,"impact":19,"highlights":20,"assessment":25},"AD-01","engineering","Full Stack + AI","Senior Full Stack Engineer",10,"Took a startup’s AI product from MVP to its main product, owning mobile, backend and the model orchestration behind generated images and video.","AI orchestration across Claude, OpenAI and Gemini: 10,000+ generation requests a day, with provider fallback and a 95% success rate.",[13,14,15,16,17],"TypeScript","React Native","Node.js","PostgreSQL","AWS","A product-minded senior engineer for teams that need web, mobile and production AI shipped by the same person.","Grew an AI mobile app past 90,000 users in its first three months; onboarding completion rose from 63% to 83% through self-run A/B tests.",[21,22,23,24],"Volunteered to prototype a mobile AI product with no prior mobile experience; it launched, retained well and became the company’s main product.","Built a page-configuration component for a large digital bank’s insurance launch that still serves its 100 million+ customers, where fallback paths and version history were mandatory.","Built an investor-relations earnings product from scratch to launch for 200+ public companies, including time-zone-aware reminders and disclosure compliance checks.","Plans with AI before executing, splits large tasks across agents and picks models by task and cost; stepped up as Scrum Master for a five-person team.","Built an ACK-first webhook that stores the inbound message and an outbox row in one transaction, relayed work from PostgreSQL to a queue with SKIP LOCKED, and layered idempotency by failure mode. Was precise about what was deliberately left out.",{"id":27,"category":6,"specialty":28,"title":8,"yearsOfExperience":29,"summary":30,"selectedWork":31,"skills":32,"intro":36,"impact":37,"highlights":38,"assessment":43},"AD-02","Full Stack",9,"Works across frontend and backend on high-traffic products where money and state-by-state regulation leave no room for errors, with two LLM features in production.","A GPT-4 rate-tracking tool that replaced brittle scraping, and a RAG assistant over member data built on a vector database.",[13,33,34,15,35,16],"React","Next.js","Python","A senior engineer whose career spans a founder-led product, consumer platforms, regulated money flows and practical AI integrations.","Works on services for a platform with about 100 million monthly visits, where most code is AI-written and the job is reviewing it for context and intent.",[39,40,41,42],"Reviews AI-generated code on a high-traffic platform whose financial rules vary by US state, looking for structural bugs behind well-formatted output.","Modernized a Next.js application, shipped a redesigned onboarding flow and the company’s first mobile experience, and built a Python RAG assistant on the OpenAI API.","Built backend, identity and real-time services in Java and Spring Boot for a ride-hailing startup, and high-traffic e-commerce and subscription frontends used by millions.","Founded and built a food-delivery product end to end; holds the AWS Certified Developer – Associate credential.","Used PostgreSQL as both system of record and durable queue, avoiding a dual write, with database-enforced idempotency, per-conversation FIFO alongside cross-conversation parallelism, lease fencing and the five-second webhook deadline enforced at runtime. Scope was disciplined and the limitations stated honestly.",{"id":45,"category":6,"specialty":46,"title":47,"yearsOfExperience":48,"summary":49,"selectedWork":50,"skills":51,"intro":55,"impact":56,"highlights":57,"assessment":62},"AD-03","Founding Engineer + AI","Founding Full Stack Engineer",12,"Has joined startups at day one, aligned architecture with the CEO, hired a small team and built a B2B AI product across integrations and data.","Integrated CRM, payments and HR platforms into AI and RAG pipelines that surface workforce insights for managers.",[13,33,52,53,16,54],"NestJS","Kafka","RAG","A hands-on engineer for an early team that needs architecture, implementation and technical leadership in one person.","Led a monolith-to-micro-frontend migration and a company-wide design system on a creator platform serving millions of users worldwide.",[58,59,60,61],"Leads full stack development at an early HR tech startup: aligned architecture with the CEO, hired and led two engineers, and stays hands-on across the stack.","Runs AI in production with model routing across LLM providers, hallucination mitigation, prompt engineering, cost optimization and human review layers.","As a founding engineer at a US startup, owned architecture and delivery end to end with React, TypeScript, NestJS, Kafka, GraphQL and PostgreSQL.","Does best work with the full picture in view; favors high autonomy, async communication, few meetings and room for engineers to propose solutions.","Used PostgreSQL as system of record and durable queue, enforced idempotency through database constraints and kept strict per-conversation ordering in two layers, including a partial unique index that closes a write-skew gap. Shipped passing tests, non-flaky concurrency tests and full CI, and was open about an AI-assisted, review-driven build process.",{"id":64,"category":65,"specialty":66,"title":67,"yearsOfExperience":68,"summary":69,"selectedWork":70,"skills":71,"intro":73,"impact":74,"highlights":75,"assessment":80},"AD-04","ai-data","Applied AI","Senior Full Stack & AI Engineer",6,"Builds B2B AI features from discovery through delivery, with a particular focus on reliable LLM integrations, observability and model cost.","Led AI reporting and alerting in which LLMs act as analysts: detecting changes, judging relevance and tying data to business outcomes.",[13,15,35,72,54],"GCP","A product-facing AI engineer with depth in large data pipelines and cloud architecture, growing into technical leadership.","Built dataflows handling about 200 million messages across 20+ Pub/Sub topics, and a cloud migration that raised throughput by about 30%.",[76,77,78,79],"Introduced retry strategies, observability and an AI FinOps view of model and infrastructure cost to production LLM integrations, using Node.js, TypeScript and Vue.","Acts as tech lead on B2B client projects across discovery, architecture and delivery, including an AWS-to-GCP migration.","Designed multi-provider LLM architectures, RAG pipelines and GPU-enabled inference microservices on Docker and Kubernetes.","Owned end-to-end features for an insurance broker portal in a regulated financial environment and led a design system across several teams; completing two postgraduate degrees in computer engineering and applied mathematics.","Delivered a clean monorepo with PostgreSQL as durable source of truth, Redis and BullMQ queueing, two-layer idempotency and real-time SSE updates. Tests targeted the right invariants, and the architecture document named its own production gaps.",{"id":82,"category":65,"specialty":83,"title":84,"yearsOfExperience":85,"summary":86,"selectedWork":87,"skills":88,"intro":92,"impact":93,"highlights":94,"assessment":99},"AD-05","AI Operations","Mid Level AI & Backend Engineer",4,"A hands-on builder of applied AI systems, including conversational workflows, speech processing and computer vision for real clients.","Shipped an embedding-based chatbot, a Whisper speech-to-text flow over messaging and YOLO/PyTorch defect detection for client projects.",[35,13,89,90,91],"Whisper","PyTorch","YOLO","An engineer energized by running and improving production AI systems, close to both the technology and the client.","Applied AI across text, speech and computer vision, delivered for public-sector and industrial clients.",[95,96,97,98],"Spent two years building AI systems for public-sector clients: an embedding-driven chatbot, a messaging-based Whisper speech-to-text pipeline and sentiment classification.","Developed backend architecture and APIs for a corporate platform, and a computer-vision pipeline for automated defect detection in textile manufacturing.","Co-founded a startup as CTO and built its Python backend with pose-estimation computer vision.","Works across Python, TypeScript, Node.js, Go and Rust, choosing languages by performance needs; holds a mechatronic engineering degree and is specializing in AI.","Two Alvorada interviews showed practical intuition about LLM challenges and pragmatic, execution-oriented problem solving; the second showed more confidence and clarity than the first.",{"id":101,"category":6,"specialty":102,"title":103,"yearsOfExperience":104,"summary":105,"selectedWork":106,"skills":107,"intro":109,"impact":110,"highlights":111,"assessment":116},"AD-06","Staff + Product","Staff Software Engineer",13,"Founded and sold a SaaS product, then became the hands-on technical reference for a commercial automation and data team.","Grew a self-built SaaS to 1,500 paying customers and an acquisition; later stopped a chargeback being processed six times across four payment providers.",[13,15,34,16,108],"AI agents","A builder with founder experience who connects technical decisions to revenue, reliability and product outcomes.","Reached profitability by redesigning upgrade-page defaults, moving annual plans from 20% to 80% of revenue without shipping a new feature.",[112,113,114,115],"Built a SaaS to 67,000 free users and 1,500 paying customers before its acquisition, and rebuilt its infrastructure solo on nights and weekends when growth outpaced it.","As Staff Engineer for two and a half years, owns the automation and data-intelligence layer of a commercial operation and makes the technical calls for a nine-person team.","Traced duplicated, out-of-order payment webhooks to their root, keyed idempotency on provider event IDs and built a synchronization layer against the payment provider’s API.","Rebuilt a monthly seller-scoring engine from 40+ hardcoded rules into a Strategy Pattern core with a Bayesian confidence layer; works spec-first, with sub-agents in parallel worktrees, evals and review before any human sees the code.","Arrived at our code-review screen having read the whole codebase, found five of six planted defects, including a critical authorization hole that let users grant themselves unlimited discounts under a colleague’s name, and called the change unmergeable unprompted. Raised no false alarms.",{"id":118,"category":6,"specialty":119,"title":120,"yearsOfExperience":121,"summary":122,"selectedWork":123,"skills":124,"intro":126,"impact":127,"highlights":128,"assessment":133},"AD-07","Product Engineering","Senior Full Stack Product Engineer",7,"Took a US B2B leads product from a raw data table to a complete customer-facing system, including dashboards, APIs and access control.","Built a B2B leads product end to end: live dashboards, exports that honor filters, a public API with async batch jobs, quotas and MFA.",[13,33,34,15,125,17],"WebSockets","A product-minded engineer who owns the workflow across frontend, backend, security and stakeholder communication.","Took a US company’s leads product from a raw data table to a working customer-facing system in under a year.",[129,130,131,132],"Built a signals dashboard with ranked prevalence meters, a filter builder that exports honor, and a WebSocket client with reconnect, heartbeat and state replay.","Compiled server-side filtering and sorting once for both listing and export; added async batch exports with pollable status, per-plan quotas and per-company usage logs.","Handled correctness and security: entity deduplication, SQL literal escaping, Athena queries that page, report-ownership checks, single-use OAuth state and TOTP MFA.","Earlier built a greenfield product at a global tech company, micro-frontends and a BFF for a large B2B commerce platform, and resolved tier-3 incidents across an automaker’s multi-country microservices.","The best-prepared candidate in our code-review screen: came with entity and lifecycle diagrams, had run the branch, found an authorization bypass with a falsified audit trail plus two issues outside our answer key, and designed the correct fix from an open question.",{"id":135,"category":6,"specialty":136,"title":137,"yearsOfExperience":9,"summary":138,"selectedWork":139,"skills":140,"intro":142,"impact":143,"highlights":144,"assessment":149},"AD-08","Fintech + Systems","Staff Engineer · Payments","Has built and led payment infrastructure in regulated environments, with depth in event-driven systems, security and technical review.","Led technology at a licensed payments platform processing 6.2 million transactions for about 4,000 businesses.",[13,33,15,141,17],".NET","A technical leader for teams where money movement, authorization and compliance carry real production consequences.","Built corporate banking and payments systems spanning Pix, card acquiring, split payments, recurring billing and Payments-as-a-Service.",[145,146,147,148],"Founding engineer of a major investment bank’s corporate banking team, building Banking-as-a-Service and event-driven AWS microservices in .NET.","Led payments engineering for a national healthcare network, then worked as engineering lead embedded with a US fintech under SOC 2, owning KYC, KYB and AML flows.","Most recently owned frontend architecture and a design system, and built an internal GenAI engineering framework for LLM code review, PR automation and agentic workflows.","Began in US capital markets on contract intelligence for leveraged finance; holds computer science and law degrees and a postgraduate thesis on AIOps anomaly detection.","In our code-review screen, found the authorization bypass unaided, called it a merge blocker and gave the right fix; also caught a flawed discount cap and was not fooled by a green CI run. Read the test suite sharply, spotting a happy-path test that only asserts its own input.",1790863430389]