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Vetted LangGraph Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
Principal AI Architect & Data Engineer specializing in GenAI, agentic systems, and MLOps
Mid-level AI Engineer specializing in NLP, LLM fine-tuning, and RAG systems
Mid-Level Full-Stack & Cloud Engineer specializing in AI agents and RAG systems
Junior AI/ML Engineer specializing in RAG, multi-agent systems, and enterprise NLP
Junior Machine Learning Engineer specializing in AI automation and LLM workflows
Mid-level Forward Deploy Engineer specializing in AI integrations for real estate SaaS
Senior Data Scientist and ML Engineer specializing in NLP, LLMs, and AI systems
Junior Software Engineer specializing in backend systems, AI agents, and EdTech platforms
Mid-level AI/ML Engineer specializing in Generative AI and cloud MLOps
Junior Machine Learning Engineer specializing in LLM agents, knowledge graphs, and multimodal AI
Mid-level AI/ML Engineer specializing in LLMs, RAG, and agentic AI systems
Mid-level Backend Software Engineer specializing in cloud microservices and AI agent systems
Mid-level Product Designer & Frontend Engineer specializing in AI-integrated, accessible UX
Junior Machine Learning Engineer specializing in deep learning and healthcare AI
Junior AI/ML Engineer specializing in RAG and multi-agent LLM systems
Mid-level Backend Software Engineer specializing in AI-powered microservices and cloud infrastructure
Mid-level AI/ML Engineer specializing in GenAI, RAG, and multi-agent LLM systems
Mid-level Full-Stack AI Engineer specializing in agentic RAG and LLM fine-tuning
Mid AI/ML Engineer specializing in LLMs, MLOps, and FinTech analytics
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.”
sathwik kuchana
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG on AWS
“Built and deployed an LLM-powered clinical decision support and risk monitoring platform for mental health at Valuai.io, emphasizing low-latency, evidence-grounded responses and crisis-safe behavior with clinician escalation. Strong production agent-orchestration background (LangChain/CrewAI) plus rigorous evaluation (clinician-in-the-loop + evaluator agent) and large-scale synthetic testing; also applied multi-agent workflows to document verification and fraud detection during an AI internship at Nixacom.”
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.”