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Vetted Retrieval-Augmented Generation (RAG) Professionals
Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in AI-powered web applications
Mid-level R&D Engineer specializing in applied AI, experimentation, and cloud-integrated prototypes
Junior Product Support Engineer specializing in SDK integration, REST APIs, and Linux/AWS support
Mid-level Full-Stack AI Engineer specializing in RAG systems and intelligent automation
Mid-level Software Engineer specializing in full-stack and FinTech systems
Intern Full-Stack Software Engineer specializing in web platforms and IoT
Mid-level Backend Engineer specializing in Python APIs, microservices, and PostgreSQL
Mid-Level Full-Stack Software Engineer specializing in AWS and RAG pipelines
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Mid-level AI Engineer specializing in LLMs, RAG, and enterprise compliance & fraud systems
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Mid-Level Full-Stack Engineer specializing in AI platforms and multi-tenant SaaS
Mid-level Machine Learning Engineer specializing in Generative AI and healthcare NLP
AungKaung Khant
Junior Software Engineer specializing in full-stack web and IoT development
“Computer Science student and indie hacker who builds open-source products in public, including a Chrome extension called "Add to ChatGPT" that reached 30+ installs in its first week. Has hands-on experience with full-stack social platform development and AI-integrated side projects, with a strong pattern of self-teaching, rapid shipping, and iterative bug fixing.”
Mid-level AI Software Engineer specializing in LLM agents and RAG systems
Entry-Level Software Engineer specializing in backend services and applied ML
Maulik Maganbhai Ghatala
Entry Backend Software Engineer specializing in Python/FastAPI and cloud-native APIs
“Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.”
Richa Chanpuriya
Mid-level Backend/Agentic AI Engineer specializing in GenAI automation and RAG systems
“Built and shipped a production AI-driven privacy automation system that autonomously navigates data broker sites to submit opt-out/data deletion requests end-to-end, including robust CAPTCHA detection/solving (e.g., reCAPTCHA/hCaptcha/Cloudflare) via 2Captcha. Experienced in orchestrating stateful LLM agent workflows with LangGraph and hardening them for production with strict state management, retries/fallbacks, validation layers, and database-backed observability/audit logs, collaborating closely with legal/compliance stakeholders.”
Manas Kumar Sherla
Junior Machine Learning Engineer specializing in NLP and LLM-based clinical AI
“Built a production automated resume matching system using Python, FAISS vector search, and Selenium-based job scraping, including mitigation for IP blocking and heterogeneous site structures. Also develops LLM/RAG applications with LangChain, using Pydantic-guardrailed structured outputs and LLM-as-a-judge evaluation (including a project focused on tone/semantics for a 3D avatar’s emotional responses).”
Nikunj Baraiya
Mid-level Unity Game Developer specializing in multiplayer and AI-driven gameplay
“Unity developer who has shipped mobile and Meta Quest experiences, including a real-time audio collaboration app using Unity + Photon Fusion. Demonstrates end-to-end gameplay ownership plus production LLM integration (Firebase-delivered quests) with measurable latency/cost improvements and a disciplined A/B + analytics-driven iteration loop; also experienced debugging live multiplayer issues (desyncs, NAT failures) with tools like Wireshark.”