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Vetted AWS Glue Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud ETL/ELT and real-time streaming
Mid-level Software Developer specializing in full-stack web and data engineering
Mid-level Software Engineer specializing in AI/GenAI and cloud-native backend systems
Mid-Level Software Developer specializing in full-stack web and data engineering
Mid-level Data Scientist specializing in Healthcare ML and Generative AI
Principal AI Architect & Data Engineer specializing in GenAI, agentic systems, and MLOps
Mid-level Data Engineer specializing in cloud data pipelines and Snowflake warehousing
Mid-level Data Engineer specializing in cloud data pipelines for Healthcare and FinTech
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native applications
Mid-level Software Engineer specializing in data platforms, cloud, and AI
Senior Backend Engineer specializing in Python and AWS serverless/data platforms
Staff Software Engineer specializing in Python APIs and AWS-native data platforms
Mid-Level Backend Software Engineer specializing in AWS microservices and AI/automation
Junior Machine Learning Engineer specializing in deep learning and healthcare AI
Intern Data Scientist / ML Engineer specializing in predictive modeling and data pipelines
Mid-level AI/ML Engineer specializing in MLOps, streaming data, and NLP/CV
Mid-level AI/ML Engineer specializing in GenAI, RAG, and multi-agent LLM systems
Mid-level Machine Learning Engineer specializing in distributed AI systems
Naveen Kancharla
Mid-level AI & Backend Engineer specializing in RAG systems and scalable APIs
“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”