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Vetted AWS Step Functions Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud microservices and real-time data platforms
Senior Backend Developer specializing in AWS serverless and data pipelines
Mid-level Machine Learning Engineer specializing in multimodal content moderation and MLOps
Junior Data Engineer specializing in cloud data pipelines and streaming
Mid-level Full-Stack Developer specializing in Java, React, and AWS cloud-native APIs
Mid-level Full-Stack Java Developer specializing in cloud-native microservices and GenAI
Mid-level Full-Stack Engineer specializing in cloud-native and AI-driven platforms
Senior Lead Data Engineer specializing in cloud data platforms and real-time ML pipelines
Junior ML/Data Engineer specializing in NLP, cloud data pipelines, and real-time sentiment analysis
Senior Backend Developer specializing in AWS-native Python systems and data workflows
Mid-level Cloud & DevOps Engineer specializing in AWS/Azure and Kubernetes
Junior AI Engineer specializing in LLM systems, RAG, and production data pipelines
Senior Software Engineer specializing in cloud-native security and API platforms
Senior .NET Developer specializing in cloud-native microservices and modern web apps
Senior Full-Stack Python Developer specializing in microservices, data engineering, and cloud
Punith Jayaramu
Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems
“Full-stack engineer with deep AWS serverless and reliability experience in fintech/underwriting systems, including eligibility scoring and dynamic rule deployments. Built and productionized an LLM-powered incident RCA assistant (Bedrock Claude 3 + custom RAG + React) achieving 92% precision and ~75% MTTR reduction, with mature guardrails (evals, drift monitoring, HITL, audit logs) and strong operational rigor (canaries, chaos testing, DLQ remediation).”
Amit Prajapati
Mid-level Software Engineer specializing in full-stack development and applied AI
“Built a production RAG chatbot for Worcester Polytechnic Institute that indexes 500+ webpages using FAISS + Llama 3, with strong grounding/hallucination controls (confidence thresholds and citations). Also has internship experience orchestrating multi-step ETL pipelines with AWS Step Functions and delivered a 30x faster fraud/claims triage workflow at Munich Re using association rules and stakeholder-friendly dashboards.”