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Vetted AI Agents Professionals
Pre-screened and vetted.
Senior Full-Stack & AI Engineer specializing in SaaS and LLM applications
Mid-level Full-Stack Software Engineer specializing in AI-integrated SaaS and interactive web apps
Principal Full-Stack AI Engineer specializing in LLM-powered web and mobile products
Senior SDET specializing in web, API, and mobile test automation
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Mid-level Full-Stack AI Engineer specializing in web and generative AI solutions
Mid-level Software Engineer specializing in Generative AI and cloud-native microservices
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic systems
Mid-Level Full-Stack Software Engineer specializing in AI automation and RAG agents
Mid-level Applied AI Engineer specializing in LLM systems for EdTech and FinTech
“Full-stack AI engineer who has built and deployed multiple end-to-end LLM products, including an AI interview assistant, a multi-agent market research platform, and a policy document explainer. Particularly strong in productionizing agentic workflows, integrating tools like Whisper, Tavus, LiveKit, CrewAI, and LangGraph, and hardening messy real-world AI/document pipelines with validation, memory isolation, and fallback handling.”
Abhay Bisht
Junior Software Engineer specializing in AI-powered full-stack SaaS
“AI-first developer who reports using agents for roughly 85% of coding work, with a disciplined process centered on detailed specs, prompt design, review, and testing. Has built a personal multi-agent orchestration setup with specialized agents for testing, PR extraction, review, and synthesis, and stays current through AI engineering newsletters and a network of AI companies.”
Harshit Vashisth
Junior AI Engineer specializing in LLMs, RAG systems, and MLOps
“Robotics software engineer who built an end-to-end system ("justmatrix"), focusing on multi-agent orchestration and a multi-RAG retrieval backend/API. Has hands-on ROS experience, including a custom node for reliable high-frequency sensor data routing, plus deployment automation using Docker, Kubernetes, and CI/CD.”
Executive Founder-CTO specializing in AI agents and distributed systems
Tejaswi devarapalli
Junior Software Engineer specializing in backend systems and AI infrastructure
“Built both a full-stack AWS file-processing pipeline and a production AI document Q&A system ('smart-doc'). Stands out for combining strong cloud engineering with practical LLM/RAG architecture, including hybrid retrieval, reranking, structured outputs, confidence-based retries, and production monitoring.”
Mohammad Ghorbani
Mid Front-End Engineer specializing in React, Next.js, and scalable web architecture
“Frontend engineer with experience on large-scale React/TypeScript microfrontend platforms, including monorepo architecture, shared UI and data layers, and a host app handling routing, auth, and errors. Has built real-time socket-based dashboards and focused on performance optimization for high-volume data experiences, with some experience leading frontend teams and mentoring peers.”
Rutu Ketankumar Shah
Mid-level Software Engineer specializing in AI automation and backend systems
“Hands-on automation and QA-focused developer using AI agents, MCP tools, and LLMs to streamline business workflows. Built agents for automated Jira bug logging, executive summary dashboards, and a rule-explainer that translates technical business rules into plain language for end users, while also supporting Selenium-to-Playwright migration and guiding peers on AI implementation.”
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.”
Ryan Bedran
Mid-level AI Solutions Consultant specializing in enterprise and government AI delivery
“Analytics and automation candidate with experience delivering data and AI solutions for major public-sector and enterprise clients including STC, Abu Dhabi Ports, and the Ministry of Culture. They combine SQL, Python OCR pipelines, dashboards, and cloud LLMs to turn messy unstructured data into scalable workflows, with reported impact including 70% faster document processing and 80-85% reduction in manual resume screening.”
MARCOS FILHO
Mid AI/Software Engineer specializing in LLMs, agents, and distributed systems
“Solo builder focused on backend and AI-driven decision-support products, especially around real estate/tower investment use cases in Dubai and Brazil. Describes hands-on work with PostgreSQL, Redis, crawlers, caching, LLMs, embeddings, and agent-style systems, with an emphasis on shipping end-to-end under ambiguous requirements.”