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Vetted Amazon SQS Professionals
Pre-screened and vetted.
Prudhvi Madhabathula
Mid-Level Full-Stack Java Engineer specializing in cloud-native web applications
“Full-stack engineer (Snowflake) who shipped an AI/LLM-powered data exploration product end-to-end, spanning Spring Boot/Python services and a polished React UI with streaming responses and robust fallbacks. Experienced operating high-scale AWS deployments (Docker/Kubernetes, SNS/SQS, RDS Postgres, CloudWatch, Jenkins CI/CD) supporting thousands to tens of thousands of concurrent users, including handling real traffic-spike scaling incidents.”
Daksh Jain
Mid-Level Software Development Engineer specializing in AWS streaming media platforms
“Full-stack engineer with hands-on Next.js App Router + TypeScript experience (built a RateMyProfessor-style platform end-to-end using RSC, dynamic routing, debounced search, and cache invalidation). Also has AWS backend depth—built a Step Functions-based wave rollout/feature access control framework for MediaPackage V2 with idempotency, retries, rollback, and ongoing correctness reconciliation.”
Naga Harshita B
Mid-level Full-Stack Engineer specializing in cloud-native data and enterprise platforms
“Software engineer with practical, day-to-day experience embedding AI into development workflows across coding, testing, code review, and AWS data pipelines. Uses tools like Claude, Cline, JUnit, Mockito, and Amazon Bedrock, and stands out for having a realistic, mature view of agent limitations, hallucinations, and the need for strong prompting and human validation.”
Apnav Poptani
Senior Software Engineer specializing in distributed systems, compliance, and healthcare platforms
“Engineer using AI deeply in real production workflows, not just for code generation: they built agents for PR reviews and incident debugging that reportedly reduced review time by 50% and sped root-cause analysis by 30%. They also designed a three-agent personalization pipeline for real-time navigation curation, showing hands-on experience with multi-agent systems, orchestration, and rule-based refinement.”
Intern AI/ML Engineer specializing in LLM systems and cloud-native microservices
Mid-level Software Engineer specializing in payments, data platforms, and ML systems
Mid-level Backend/Full-Stack Software Engineer specializing in cloud-native microservices and APIs
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
Senior Full-Stack Engineer specializing in AI, cloud microservices, and blockchain
Junior Software Engineer specializing in cloud infrastructure and full-stack development
Executive technology leader specializing in SaaS, cybersecurity, and healthcare IT
Mid-level Python Full-Stack Developer specializing in FinTech and ML systems
Senior AI/ML Engineer specializing in Generative AI, NLP, and LLM systems
Staff-level Software Engineer specializing in AI, data platforms, and cloud infrastructure
Senior Full-Stack Software Engineer specializing in cloud-native web apps and AI integrations
Senior Software Engineer specializing in distributed backend services and data pipelines
Mid-Level Backend Software Engineer specializing in FinTech and data pipelines
Mid-level Software Engineer specializing in backend microservices and workflow automation
Executive technology leader specializing in scalable SaaS, IoT, and product engineering
Senior Software Engineer specializing in machine learning and FinTech systems
Mid-level Software Engineer specializing in full-stack distributed systems
Director-level financial software leader specializing in FinTech and accounting systems