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Vetted Amazon Bedrock Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend systems, data pipelines, and GenAI automation
Mid-level Full-Stack Software Engineer specializing in AI-enabled FinTech and compliance platforms
Senior AI/ML Engineer specializing in healthcare AI, LLMs, and MLOps
Mid-level Software Development Engineer specializing in distributed systems and GenAI
Senior Generative AI & Machine Learning Engineer specializing in LLMs and MLOps
Mid-level Machine Learning Engineer specializing in Generative AI and LLM applications
Senior Python/ML Engineer specializing in LLM-powered backend systems
Mid-level Backend/Cloud Software Engineer specializing in AWS and distributed systems
Senior Cloud & Backend Engineer specializing in AWS and DevOps automation
Principal Software Engineer specializing in enterprise AI/ML and multi-cloud architecture
Director-level Engineering Leader specializing in consumer web/mobile and AI-driven optimization
Mid-level Software Engineer specializing in backend systems and LLM applications
Principal AI Engineer specializing in enterprise AWS and GenAI architecture
Intern Software Engineer specializing in cloud, backend systems, and LLM-powered tooling
Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms
Junior Full-Stack Software Engineer specializing in Real Estate SaaS and AI automation
Mid-level AI/ML Engineer specializing in NLP, RAG, and agentic AI
Mid-level AI Data Scientist specializing in financial risk, fraud detection, and NLP/LLM systems
Junior AI Product Engineer specializing in LLM workflows and analytics automation
Mid-Level Software Engineer specializing in AI platforms and backend systems
Khaliun Gerel
Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms
“Full-stack product engineer who has owned end-to-end delivery of multi-client platforms: Finy (agriculture platform with 3 role-based web dashboards plus 2 field mobile apps) and Ugoku (Japanese studio platform with React/TypeScript dashboards, Node/Mongo backend, and mobile AR video playback). Strong in scalable architecture and performance—offline-first mobile for low connectivity, and AWS-based asynchronous video/AR processing with S3/CloudFront—plus building internal ops tools adopted quickly due to measurable workflow improvements.”
Abhishikth Meesala
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”