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Vetted Amazon SNS Professionals
Pre-screened and vetted.
Mid-level .NET Developer specializing in cloud-native microservices and enterprise APIs
Mid-level Data Engineer specializing in healthcare analytics and AI pipelines
Senior Full-Stack .NET Engineer specializing in cloud, APIs, and data platforms
Senior Cloud Operations Engineer specializing in SaaS and cloud infrastructure
Mid-level Software Engineer specializing in SaaS platforms and AI-enabled development
Mid-level Python Developer specializing in cloud-native FinTech platforms
Senior DevOps & Site Reliability Engineer specializing in multi-cloud CI/CD and IaC
Senior Data Engineer specializing in cloud data platforms and real-time streaming pipelines
Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI
Senior Full-Stack Java Developer specializing in microservices and Healthcare/FinTech systems
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
Nithin Reddy
Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures
“Built and maintained an internal JavaScript/React real-time event monitoring UI used by multiple Goldman Sachs teams (e.g., Private Wealth Management and Bulk Trading Systems). Focused on scaling performance under hundreds of events/sec—using profiling, memoization, batching, and debouncing—and paired it with strong internal documentation and disciplined incident diagnosis via synthetic load testing and logs/metrics.”
Senior Software Engineer specializing in full-stack distributed systems and AI
Mid-level Software Engineer specializing in FinTech and cloud backend systems
Krishnapriyanka Ponnaganti
Mid-level AI/ML Engineer specializing in agentic AI and production ML systems
“ML/AI engineer with hands-on experience shipping production computer vision and GenAI systems, including a fabric defect detection platform that combined vision models with agentic LLM workflows to reach 89% human-inspector agreement at 200 ms latency. Also built a RAG-based code QA tool for developers and emphasizes production monitoring, evaluation, caching, and reusable Python service design.”
Rob Wlaschin
Director-level Engineering Manager specializing in AI platforms, FinTech, and Healthtech
“Serial entrepreneur building three distinct products: a context-aware AI chatbot, a connected TV companion-screen platform with an implementation client, and gamerogue.net, a mobile-optimized web-based virtual tabletop marketplace currently seeking funding. Brings hands-on fundraising experience, familiarity with the VC/accelerator ecosystem including YC, and a notably pragmatic approach to validating ideas based on existing market demand rather than speculative adoption.”
Vamsi Krishna Chigurupati
Mid-level Full-Stack Developer specializing in FinTech microservices
“Backend engineer currently at Citigroup working on real-time transaction processing systems with Kafka. Stands out for using AI tools pragmatically in a regulated banking environment to improve debugging, testing, and developer productivity while keeping human control over architecture, security, and performance decisions.”
Manasa Pantra
Junior Software Engineer specializing in AI, LLM systems, and full-stack development
“Product-focused full-stack engineer at startup (Zippy) who shipped a production multi-agent AI system for restaurant operations plus payments workflows. Built end-to-end: RAG grounded on a Notion knowledge base, structured function-calling task routing, FastAPI/JWT multi-tenant backend, and a polished React+TypeScript owner dashboard. Has real production incident experience (duplicate Stripe webhooks) and reports ~94% task-routing accuracy under load.”
Rubesh Phaiju
Senior Full-Stack Java Engineer specializing in cloud-native microservices and GenAI
“Deloitte engineer who built and shipped AI-powered, Kafka-driven workflow automation for transportation/document processing, including LLM-based semantic search. Strong in production reliability (idempotency, offset management, retries), observability (Datadog/CloudWatch), and database performance tuning (PostgreSQL/Flyway), with measurable latency improvements.”
Runjeeth Nikam
Mid-Level Software Engineer specializing in Python backend, data engineering, and cloud microservices
“Backend-leaning full-stack engineer with production experience in both healthcare (claims enrichment/interoperability at Abacus) and finance (Goldman Sachs pricing/risk APIs + React dashboards). Built an event-driven AI grading platform using Postgres Debezium CDC + Kafka + FastAPI on AWS that cut manual grading ~70% and served 1000+ students, with strong emphasis on reliability, testing, and performance tuning.”