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Vetted Apache Airflow Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in full-stack and AI/LLM evaluation
Mid-level AI/ML Engineer specializing in cloud-native data pipelines and RAG systems
Mid-Level Software Developer specializing in cloud-native microservices and FinTech
Executive Technology Leader specializing in AI, edge-to-cloud platforms, and smart infrastructure
Mid-level Software Engineer specializing in full-stack, distributed systems, and AI agents
Mid-level Software Engineer specializing in AI and cloud-native data platforms
Mid-level Full-Stack Software Engineer specializing in cloud microservices and GenAI
Senior Data Scientist / AI-ML Engineer specializing in LLMs, NLP, and MLOps
Mid-Level Software Engineer specializing in distributed systems and cloud platforms
Mid-level Machine Learning Engineer specializing in LLMs, Generative AI, and MLOps
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Software Developer specializing in DevOps, CI/CD, and AWS Kubernetes
Mid-level AI/ML Engineer specializing in Generative AI and RAG assistants
Mid-level Machine Learning Engineer specializing in healthcare and financial AI
Mid-level AI Engineer specializing in LLM agents and production ML systems
Mid-level Full-Stack Software Developer specializing in cloud microservices and healthcare interoperability
Junior Data Engineer specializing in cloud ETL/ELT and lakehouse platforms
Senior Full-Stack Software Engineer specializing in Python, React, and LLM-powered applications
Sai Krishna Sriram
Mid-level Generative AI & ML Engineer specializing in production LLM and RAG systems
“AI/ML engineer who shipped a production blood-test report understanding and personalized supplement recommendation product, using a LangGraph multi-agent pipeline on AWS serverless with OCR via Bedrock and RAG over vetted clinical research. Also built end-to-end recommender system pipelines at ASANTe using Airflow (ingestion, embeddings/features, training, registry, batch scoring/monitoring) with KPI reporting to Tableau, with a strong focus on safety, evaluation, and measurable reliability.”