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Vetted API Development Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Web Developer specializing in SaaS applications
Mid-level Full-Stack Engineer specializing in Java/Spring Boot and payments automation
Mid-level Full-Stack Engineer specializing in web apps, cloud infrastructure, and FinTech
Junior Software Engineer specializing in full-stack and data-driven cloud systems
Mid-Level Full-Stack Software Engineer specializing in scalable web apps and FinTech systems
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
Mid-level Data Engineer specializing in cloud data pipelines and Snowflake warehousing
Mid-Level Full-Stack & Cloud Engineer specializing in AI agents and RAG systems
Senior Java Full-Stack Developer specializing in cloud-native microservices
Mid-Level Full-Stack Software Developer specializing in Cloud Infrastructure and React/Node.js
Junior AI Engineer specializing in RAG systems and full-stack development
Mid-Level Machine Learning Engineer specializing in LLMs and RAG systems
Senior Robotics Software Engineer specializing in C++/Python and ROS2 navigation
Senior Full-Stack Product Engineer specializing in AI, Cloud, and regulated domains
Mid-Level Software Developer specializing in backend systems and data engineering
Mid-level Backend Software Engineer specializing in APIs and scalable enterprise systems
Mid-Level Full-Stack Software Engineer specializing in FinTech and enterprise web apps
Senior Software QA & Data Systems Specialist in nuclear and regulated environments
Senior Full-Stack Engineer specializing in Clojure, AWS, and scalable web APIs
Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3
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.”