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Vetted Amazon SQS Professionals
Pre-screened and vetted.
Senior Software Developer specializing in cloud-native microservices and data platforms
Mid-Level Software Engineer specializing in cloud data platforms and full-stack web development
Engineering Leader specializing in growth platforms and transaction systems
Mid-level Software Engineer specializing in event-driven backend and on-device ML for robotics
Senior Software & Data Engineer specializing in cloud platforms and streaming data
Mid-Level Software Engineer specializing in AI platforms and backend systems
Junior Software Development Engineer specializing in AWS backend and distributed systems
Senior DevOps Engineer / AWS Solutions Architect specializing in Kubernetes and DevSecOps
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Senior Software Engineer specializing in data platforms and FinTech/SaaS systems
Senior Full-Stack Engineer specializing in Java microservices and FinTech
Swastik Chowdhury
Mid-level Data Engineer specializing in cloud data platforms and real-time streaming
“Worked on onboarding a Middle East logistics client processing thousands of invoices/month, building a production-ready pipeline that routes known vendor PDFs to deterministic regex parsers via Tax ID matching and falls back to LlamaParse for unknown layouts. Added financial consistency validation plus human-in-the-loop review and logging/metrics to continuously reduce LLM usage and improve template coverage.”
Praneeth Regonda
Mid-level Full-Stack Engineer specializing in FinTech and AI platforms
“Full-stack engineer with 3 years of AI/ML experience who has shipped production LLM workflows, including a Bloomberg triage dashboard that cut manual processing by 35%. Combines React/TypeScript product sense with AWS/Spring/Lambda backend architecture and unusually strong practical judgment around evals, trust, retrieval, latency, and UX for real-world AI systems.”
Syed Daim Ali
Intern Software Engineer specializing in FinTech and AI platforms
“Systems-focused engineer who built an OS kernel with multithreading, priority scheduling, system calls, and synchronization primitives, and debugged race conditions end-to-end. While not yet hands-on with ROS/SLAM, they clearly connect low-level concurrency and scheduling decisions to deterministic, reliable robotics-style real-time workloads.”
Aarati Dulal
Senior Full-Stack Java Engineer specializing in cloud-native microservices
“Backend/platform engineer who owned high-volume Java/Spring Boot microservices on AWS (Kafka + RDS/DynamoDB) and has hands-on experience debugging complex production latency incidents across DB, JVM/GC, and async consumers. Also shipped applied AI features for ops, including an LLM-powered log analysis assistant and an incident-response agent with strong safety guardrails (schema-validated tool use, retries/backoff, and human-in-the-loop escalation).”
Rahul Kushwaha
Mid-level Software Engineer specializing in FinTech and scalable microservices
“Backend/platform engineer focused on high-traffic financial systems, owning real-time event-driven ingestion and Kafka streaming pipelines using Python/FastAPI, Avro schemas, and AWS services. Has hands-on Kubernetes (EKS) and GitOps/CI-CD experience (ArgoCD/Jenkins) and supported large-scale migrations from legacy VMs to containerized microservices with zero/low-downtime cutovers.”
Intern Software Engineer specializing in cloud data platforms and full-stack systems
Senior Full-Stack Engineer specializing in Python, cloud-native systems, and LLM applications