.png){kind=logo}
Vetted API Development Professionals
Pre-screened and vetted.
Talent Acquisition Leader specializing in full-cycle recruiting and recruiting operations
Mid-level Software Engineer specializing in data platforms, cloud, and AI
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 Full-Stack Software Engineer specializing in FinTech and enterprise web apps
Junior Full-Stack Software Engineer specializing in React, Node.js, and cloud-native microservices
Executive Technology Leader specializing in Quantum Computing, AI, and Cloud Platforms
Executive engineering leader specializing in startup platforms, cloud architecture, and AI/Web3
Director-level Technical Architect specializing in AI, spatial computing, and industrial platforms
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.”
Kruti Mehta
Mid-level Software Engineer specializing in backend systems and FinTech analytics
“Engineer with a pragmatic, high-leverage approach to AI-assisted development: uses AI and multi-agent workflows aggressively for implementation and internal tooling, while maintaining strict human oversight for user-facing features. Stands out for treating agents like junior engineers, breaking work into actionable tasks, and combining robust testing, local E2E validation, and feature-flag rollouts to safely ship production code.”
Swarag Reddy Pingili
Junior AI/ML Software Engineer specializing in LLM agents and RAG systems
“AI/back-end engineer at Canon who helped build and operate an internal production LLM platform that acts as a secure middle layer between users and models, defending against jailbreaks/prompt injection while enabling RAG, memory, and grounded responses over company data. Experienced with LangChain/LangGraph orchestration, vector DB retrieval, and reliability practices (testing, monitoring, adversarial prompts) to run high-throughput, low-latency AI workflows in production.”