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Vetted Amazon Kinesis Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI/ML
Senior Backend Engineer specializing in scalable AWS serverless and data pipelines
Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting
Mid-Level Full-Stack Software Developer specializing in AWS cloud and automation
Senior Data Engineer specializing in cloud data platforms and real-time analytics
Senior Backend Software Engineer specializing in AWS serverless and data pipelines
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Rhutwij Tulankar
Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization
“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”
Rohini Rajagopalan
Director-level Engineering Leader specializing in SaaS, Cloud Migration, and Cybersecurity
“Senior engineering leader with experience at Cisco, Amazon, and startup Shopkick, operating at high scale (e.g., Secure Web Gateway handling ~40M QPS). Known for measurable impact across reliability and cost (85% efficacy improvement; Datadog spend cut from ~$500k/month to ~$15k/month) and for leading complex platform modernization (1-year monolith-to-microservices/event-driven migration with zero customer impact) plus compatibility-focused API design that cut device onboarding from a month to a day.”
Chandra sai kiran Kammari
Mid-level Machine Learning Engineer specializing in fraud detection and real-time personalization
“ML/LLM engineer with Stripe and Adobe experience who productionized a transformer-based Payments Foundation Model for real-time fraud detection at global scale (billions of transactions). Built petabyte-scale ETL/feature pipelines (Spark/EMR, Airflow, dbt, Kafka/Flink) and achieved <100ms multi-region inference (EKS, TorchServe, edge/Lambda, GPU/CPU routing) with strong PCI-DSS/GDPR compliance and explainability (SHAP/LIME), reporting a 64% fraud accuracy improvement.”
Senior Software Engineer specializing in distributed systems, AI/ML platforms, and cloud-native SaaS
Senior Software Engineer specializing in AI platforms for healthcare and industrial time-series ML
Executive Technology Leader (CTO/Principal Engineer) specializing in cloud-native platforms and AI
Senior Software Engineer specializing in cloud-native microservices and AI-enabled products
Mid-Level Software Engineer specializing in FinTech payments and risk platforms
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI/LLM integration
Mid-level Backend Software Engineer specializing in FinTech payments, risk, and real-time systems
Principal AI Architect specializing in GenAI, agentic systems, and RAG
Senior Cloud Solutions Engineer specializing in AWS Analytics and GenAI
Staff Software Engineer specializing in headless commerce and developer platforms
Mid-level Full-Stack Developer specializing in Java microservices, React, and cloud AI platforms