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Vetted Amazon Kinesis Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud data pipelines and Snowflake warehousing
Mid-level AI/ML Engineer specializing in MLOps, streaming data, and NLP/CV
Mid-level Applied AI Engineer specializing in LLM agents and RAG systems
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Senior Backend/Infrastructure Engineer specializing in Python microservices and AWS
Vengalarao Pachava
Junior AI Data Engineer specializing in Azure Databricks lakehouse and GenAI RAG systems
“Backend/applied AI engineer from Cloud Rack Systems who built production GenAI/RAG and data platforms on Azure/Databricks at enterprise scale (2.5M records/day). Known for making LLM systems behave like deterministic services via strict retrieval contracts, citation-based validation, and strong observability—shipping a knowledge assistant used daily by 50+ users while driving hallucinations near zero and materially improving latency and cost.”
Tulasi padamata
Junior Machine Learning Engineer specializing in Document AI and LLM-powered workflows
“Built and owned a customer-facing Document Intelligence Service for legal contract analytics at Noasis Digital, delivering extraction/summarization with careful accuracy controls (confidence thresholds, versioned deployments, production logging). Also developed a React/TypeScript document review app and internal QA dashboard, and has hands-on microservices experience with async messaging (RabbitMQ), timeout tuning, and centralized structured logging for reliability at scale.”
Mrudul Shirodkar
Junior Full-Stack Software Engineer specializing in Java/Spring Boot and Angular
“Backend-leaning full-stack developer (Java/Spring Boot, Angular, MySQL) who emphasizes rapid iteration with quality via clean code, validation, and API testing. Built a web application to help women connect directly with NGOs, focusing on an intuitive dashboard and user walkthroughs to support adoption, and designed flexible REST APIs to handle frequent requirement changes.”
Junior Applied AI Engineer specializing in conversational and voice agent platforms
Mid-Level Machine Learning Engineer specializing in NLP and Generative AI
Mid-level Data Engineer specializing in cloud data platforms and streaming analytics
Senior Full-Stack Engineer specializing in FinTech and Healthcare
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level AI & Data Engineer specializing in cloud ML, RAG systems, and ETL automation
Mid-Level ML/AI Engineer specializing in LLMs, RAG, and multi-agent systems
Senior Full-Stack Engineer specializing in Python, React, and cloud-native AI features
Senior Full-Stack AWS Developer specializing in cloud-native microservices and serverless systems
Mid-level Unity Developer specializing in VR/MR/XR and real-time interactive applications