Maitrayee Purohit
Hi there! I'm Maitrayee Purohit, an AI Engineer specializing in production-grade LLM applications, RAG pipelines, and agentic AI systems.
About
Hi there! I’m Maitrayee Purohit, an AI Engineer specializing in production-grade LLM applications, RAG pipelines, and agentic AI systems. I architect and ship end-to-end AI solutions in fully remote and asynchronous environments, delivering measurable impact and trustworthy outcomes.
Over the past 3+ years, I have built multi-stage RAG research agents, a Django-based Smart E-Learning Platform, and RL agents, while mentoring remote learners and collaborating with US/EU/global teams. I enjoy turning complex AI ideas into practical, scalable products and love exploring the latest in Python, LangChain, OpenAI, and Hugging Face ecosystems. I am actively seeking remote ML/AI engineering roles with US/EU/global companies.
- 3 years' experience
- Joined June 2026
Industry experience
- Software & Internet
- Media & Entertainment
- Education
Work experience
Completed Azure AI Fundamentals training; built NLP workflows in Azure AI Language for text analytics and sentiment analysis; worked through Generative AI workflows in Azure ML and completed Power BI data visualization training.
Architected and shipped a production-grade AI Research Agent powered by a 5-stage RAG pipeline (web search, document parsing, semantic chunking, ChromaDB storage, GPT-4 report generation); built an automated claim-verification layer that cross-validates every generated assertion against retrieved source documents, reducing hallucinated or unsupported claims by ~40% and improving response trustworthiness for end users. Designed and delivered a full-stack Smart E-Learning LMS in Django supporting three roles (student, instructor, admin); built an explainable AI recommendation engine combining collaborative and content-based filtering on five behavioral signals (progress, quiz score, wish list, enrollment, engagement); integrated NLP-powered quiz generation, plagiarism detection, and learner engagement dashboards. Engineered production NLP pipelines using Hugging Face Transformers, Sentence Transformers, and LangChain for semantic search, text classification, and NER; served models via Fa
Education
Certifications and awards
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