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Vetted LangGraph Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in Python/TypeScript web apps and AI (RAG, agentic workflows)
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Mid-level Frontend Engineer specializing in React/Next.js and scalable web platforms
Mid-level Software Engineer specializing in Generative AI and cloud-native microservices
Junior Generative AI Engineer specializing in LLM systems and RAG
Mid-level AI Engineer specializing in LLM agents, RAG, and evaluation
Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision
Junior Machine Learning Engineer specializing in Generative AI and LLM agents
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic systems
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Mid-level AI/ML Engineer specializing in GenAI, agentic AI, and RAG pipelines
Haeshitha Indukuri
Entry AI/ML Engineer specializing in Generative AI, LLMs, and MLOps
“Built and productionized a MediCloud/Medicoud LLM microservice platform that lets clinicians query medical data in natural language, orchestrating multi-step RAG-style workflows with LangChain and evaluating/debugging with LangSmith. Delivered measurable gains (consistency ~70%→90% / +20%; latency ~2.0s→1.1s / -40%) by implementing structured prompts, fallback logic across multiple LLMs, hybrid retrieval tuning, and AWS Lambda performance optimizations (package size, async, caching).”
Jeevan Kumar
Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG
“Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.”
Junior AI/ML Researcher specializing in deep learning, computer vision, and LLM applications
Senior Full-Stack AWS Developer specializing in cloud-native microservices and serverless systems
Junior Software/AI Engineer specializing in LLM agents and RAG systems
Sarang Pratham
Junior Software Engineer specializing in data engineering and GenAI
“Built and deployed a production LLM-powered recruitment chatbot that automates key recruiting steps (sourcing, candidate engagement, screening). Strong in agent orchestration with LangGraph, including guided graph-based workflows, context-aware routing, and reliability measures like clarifying steps plus human-in-the-loop evaluation.”
Aldrin Azucena
Mid-level Full-Stack Software Developer specializing in web apps, CI/CD, and cloud infrastructure
“Frontend engineer (~4 years) who led an admin dashboard for potato farmers end-to-end, integrating real-time and historical weather data to drive disease-severity predictions. Built scientifically validated calculation pipelines (FAO Penman-Monteith, late blight models), rigorous Cypress/unit testing, and print/PDF-ready reporting, while optimizing performance and API load with debouncing, caching, and feature-flagged rollouts.”
Junior Machine Learning Engineer specializing in LLMs, RAG, and fine-tuning
Junior Backend & ML Engineer specializing in Golang microservices and LLM/RAG systems