Mani Deep
AI/ML & Agentic AI Engineer | GenAI | RAG | LangChain/LangGraph
- Role
- Ai Ml Engineer at Adobe
- Location
- Edison, NJ, US
- LinkedIn followers
- 500 followers
About Mani Deep
AI/ML Engineer specializing in Agentic AI, LLMs, RAG pipelines, and autonomous workflow automation for enterprise-scale applications. I design and deploy production-grade GenAI systems using LangChain, LangGraph, Agno, AWS Bedrock, and Azure OpenAI that automate complex multi-step business processes end-to-end.Experienced in building scalable microservices with FastAPI, Python, and CI/CD across AWS, Azure & GCP, integrated with platforms like ServiceNow, Salesforce, and Adobe Experience Cloud.Proven success delivering high-impact AI solutions for Fortune 100 clients including Adobe and MetLife, improving efficiency, decision accuracy, and automation outcomes.Focused on building next-gen autonomous AI agents that drive digital transformation and unlock measurable business value.
Experience
Ai Ml Engineer
Jun 2024 — Present · NY, US
Collaborated with product and engineering teams to gather AI/ML solution requirements, aligning data science initiatives with Adobe\'s generative AI roadmap.Defined architectural blueprint and deployed LLaMA3 models on Azure, enabling scalable generative AI services across Adobe’s cloud infrastructure.Engineered a Retrieval-Augmented Generation (RAG) pipeline for entity resolution, improving account matching accuracy. Developed custom search ranking models using BERT embeddings and cosine similarity, improving relevance scoring and user satisfaction across image, video, and document search.Integrated Adobe Sensei APIs into Adobe Experience Manager (AEM) and Magento Commerce using RESTful and GraphQL endpoints for dynamic, real-time query processing.
Education
University of the Pacific
Ms in business analytics
St. Joseph's Degree & PG College
Bachelor in Business Administration
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