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Vetted Apache Airflow Professionals
Pre-screened and vetted.
Mid-level AI & Data Engineer specializing in cloud ML, RAG systems, and ETL automation
Mid-level AI/ML Engineer specializing in generative AI, NLP, and MLOps
Mid-level Generative AI/ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level MLOps/Machine Learning Engineer specializing in cloud-native production ML
Junior AI/ML Engineer specializing in LLMs, RAG systems, and MLOps
Senior Full-Stack & AI Engineer specializing in Python, React, and LLM/RAG systems
Junior Machine Learning Engineer specializing in Generative AI and MLOps
Mid-level Data Scientist / GenAI Engineer specializing in LLM agents, RAG, and OCR
Staff/Tech Lead Full-Stack & Cloud Engineer specializing in scalable web platforms
Senior Software Engineer specializing in cloud-native microservices and AI/ML automation
Junior AI/ML Engineer specializing in Generative AI production systems
Junior Full-Stack Software Engineer specializing in cloud-native web apps and APIs
Mid-Level Software Engineer specializing in ML and Generative AI applications
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications
Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications
Senior Full-Stack Engineer specializing in Python back-end systems and scalable web apps
Mid-level AI Engineer specializing in agentic LLM workflows and RAG systems
Rukmini Pisipati
Junior AI/ML Engineer specializing in LLM automation and NLP
“Built and shipped a production LLM hallucination detection and monitoring pipeline using semantic-level entropy (embedding-clustered multi-generation variance) to flag unreliable outputs in downstream automation. Implemented a scalable async architecture (FastAPI + Docker + Redis/Celery) with strong observability (structured logs + PostgreSQL) and developed evaluation loops combining controlled prompts and human review; also partnered with non-technical stakeholders on AI-driven form validation/document processing.”
Akash Mishra
Mid-level Data Engineer specializing in ETL pipelines on GCP
“Full-stack engineer from Larix Technologies who led a Next.js migration feature: an internal real-time workflow status dashboard built with App Router/TypeScript using server components for initial render and client polling for live updates. Demonstrates strong post-launch ownership—monitoring latency/error rates, adding caching and payload reductions, and optimizing Postgres queries/indexes—plus experience building durable RabbitMQ-based message routing workflows with idempotency, retries, and dead-letter queues.”