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Vetted Amazon DynamoDB Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in scalable backend microservices and cloud platforms
Senior Full-Stack Engineer specializing in Ads and FinTech platforms
Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems
Senior Software Engineer specializing in full-stack web/mobile apps and cloud-native systems
Staff Software Engineer specializing in streaming platforms and AI-driven experiences
Mid-Level Software Development Engineer specializing in AWS AI inference platforms
Mid-level Full-Stack Python Developer specializing in cloud-native platforms and payments
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Senior Software Engineer specializing in Python, cloud microservices, and conversational AI
Mid-level Backend/Distributed Systems Engineer specializing in AWS serverless architectures
Senior Full-Stack Engineer specializing in FinTech and fraud/risk systems
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Staff-level Software Engineer specializing in .NET microservices for FinTech and Healthcare
Mid-level Software Engineer specializing in FinTech backend systems
Shashikant Sreenivasaiah
Executive software engineer and founder specializing in AI, robotics, and cloud systems
“AI-native engineer who says 100% of current development is done through coding agents and reports roughly 10x productivity gains. Currently building 'AI TV,' a production video-generation system with multi-agent orchestration, including a motion-graphics pipeline where agents handle high-level design, low-level implementation, and iterative review. Particularly strong in designing codebases and workflows so AI systems can effectively use architectural and product context.”
Christopher Kanten
Senior Backend Engineer specializing in Node.js, Java, and regulated SaaS platforms
“Built a production LLM-powered root cause analysis agent for supply chain alerts that helped operations managers avoid manual dashboard investigation. Demonstrates unusually strong depth in agent reliability, orchestration, and observability, with concrete production practices like hallucination blocking, shadow testing on 500 cases, and data-driven improvements that raised user agreement to 94% while cutting GPT-4 usage by 60%.”
Parth Vadera
Senior AI/ML Data Scientist specializing in recommender systems, LLMs, and MLOps
“ML/NLP leader with 12+ years of impact across LinkedIn, TikTok, and Levi's, building and productionizing multimodal recommendation and embedding-based search systems. Deep experience in entity resolution, vector retrieval, and rigorous evaluation, with cloud-native deployment/monitoring (MLflow, Airflow, SageMaker/Lambda, Azure ML, Kubernetes) and demonstrated double-digit relevance gains at millions-of-users scale.”