Vetted SonarQube Professionals

“Software engineer with a strong builder mindset who has worked across ML, backend, and frontend systems. Notably built an AI-driven predictive autoscaler for Kubernetes from scratch using Prometheus, TensorFlow, Flask, and Spring Boot, and also delivered customer-facing automation features in financial document processing by working directly with auditors to translate domain rules into product logic.”

“Software/product engineer who owns customer-facing internal platforms end-to-end, with deep experience building data pipeline health and data quality tooling (near-real-time alerting and ops dashboards). Strong in React/TypeScript + Python REST architectures and microservices with RabbitMQ, emphasizing reliability patterns (idempotency, DLQs, correlation IDs) and fast, safe iteration via feature flags, testing, and observability.”

“Game QA professional with AAA open-world shipping experience, owning high-impact quality risks like save-data corruption, progression blockers, performance drops, and multiplayer desync. Demonstrates strong systems thinking and exploit prevention (e.g., reproduced and helped fix a reward-duplication race condition using network interruption + rapid input), with disciplined JIRA/TestRail workflows and evidence-driven bug reporting.”

“Cloud/DevOps-focused engineer with hands-on experience building Azure DevOps CI/CD pipelines for containerized applications deployed to AKS, including security scanning, approvals, versioned artifacts, and rollback. Also implemented Terraform-based IaC for Azure (VNets/subnets/NSGs/AKS) with modular design, remote state/locking, and drift detection; resolved a real deployment outage caused by an Azure RBAC permission change.”

Srikar Tharala

Screened

Mid-level AI/ML Engineer specializing in Generative AI and RAG systems

Remote, USA4y exp

“Currently at ProShare and reports building an AI/LLM-powered system deployed to production, aimed at helping with status-related difficulties and reducing misunderstandings across transactions. Also cites prior collaboration at Porsche with marketing teams, focusing on translating marketing goals into technical requirements and communicating solutions clearly to non-technical stakeholders.”

“Full-stack engineer with strong production experience improving performance and reliability of data-heavy analytics products. Has shipped end-to-end features spanning Node/Express + PostgreSQL + Redis and React/TypeScript, deployed via Docker/GitHub Actions to AWS EKS with Helm, and monitored with Datadog/CloudWatch; also built a Python compliance automation backend for AWS security monitoring with RBAC, versioned REST APIs, and resilient throttling-aware processing.”

Sviatoslav Boichuk

Screened

Executive CTO / Engineering Leader specializing in Full-Stack Architecture and Cloud Delivery

Ivano-Frankivsk region, Ukraine11y exp

“Founder building a hiring-focused startup who has engaged with venture investors but is prioritizing direct end-user traction through email marketing and other outreach before returning to raise a seed round. Has experience working with startups that have already raised seed funding and demonstrates a structured approach to market validation (customer conversations, landing pages) prior to heavy development.”

Revanth P

Screened

Mid-level DevOps Engineer specializing in AWS, Azure, Kubernetes, and GenAI infrastructure

Walnut Creek, CA4y exp

“Database/platform engineer with stronger hands-on experience in AWS and Azure than GCP, but able to speak credibly about cloud database architecture, automation, and reliability engineering. They led an on-prem MySQL to RDS/DynamoDB migration, built Terraform/Python-based zero-touch database operations, and described a performance incident where latency dropped from 2s to under 300ms while supporting 2x traffic.”

Antonio Walker

Screened

Senior Technical Lead and Full-Stack Engineer specializing in cloud, AI, and enterprise platforms

Irvine, CA13y exp

“Engineering leader and player-coach who says he joined Freeing Returns during a transition from sales-led services to SaaS, architected the platform from the ground up, and helped hire a 10+ person team across engineering, product, and delivery. He also describes leading an AI-based fraud detection system on Salesforce with data lake and pipeline architecture, combining startup build-from-scratch execution with hands-on technical leadership.”

“Built AI-powered products across both healthcare and financial services, including a privacy-conscious assistant for elderly health check-ins and a production RAG system for high-stakes financial document analysis. Stands out for combining full-stack engineering with strong LLM reliability practices—grounding, structured outputs, fallback handling, monitoring, and human-in-the-loop controls—while delivering measurable impact on accuracy, speed, and system performance.”

“Backend engineer who has led redesigns and migrations for a real-time logistics platform, improving scalability and resilience while managing eventual consistency tradeoffs. Demonstrates strong distributed-systems rigor (idempotency, transactions, async queues, monitoring) and builds secure, versioned FastAPI APIs with JWT/OAuth2, RBAC, and database row-level security.”

Emmanuel Eruck

Screened

Senior Full-Stack Software Engineer specializing in AI and FinTech

Toronto, Canada8y exp

“Frontend engineer who led the mentorAi SaaS platform UI end-to-end at IBL.ai, building real-time React/Redux experiences backed by WebSockets and scaling quality with Playwright E2E tests in GitHub CI. Also worked at Paymentology for ~2 years on fintech features (token management, Visa card creation/assignment and funding flows), modernizing an existing React codebase by introducing TypeScript and strengthening CI/coverage with SonarQube to reduce deployment bugs.”