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Vetted Feature Engineering Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in computer vision and LLM analytics
Mid-level Software Engineer specializing in full-stack and distributed systems
Junior Machine Learning Engineer specializing in AI automation and LLM workflows
Intern Software Engineer specializing in cloud DevOps and microservices
Senior Full-Stack Software Engineer specializing in AI/ML and LLM automation
Mid-level Applied AI Engineer specializing in LLMs, Prompt Engineering, and RAG
Mid-level Software Engineer specializing in Java microservices and cloud-native systems
Mid-level AI/ML Engineer specializing in Generative AI and cloud MLOps
Junior Data Scientist / AI Engineer specializing in analytics, ML, and MLOps
Mid-level AI/ML Engineer specializing in LLMs, RAG, and agentic AI systems
Junior Data Scientist specializing in cybersecurity and AI/ML
Mid-level Data Analyst specializing in marketing analytics and machine learning
Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines
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.”