Available to hire
Hi, I’m Govind Raichand Barbade, an AI Engineer with a passion for developing cutting-edge AI and machine learning solutions. I specialize in generative AI, retrieval augmented generation, and deploying AI models on edge devices. I enjoy building scalable and efficient systems that improve workflows, especially in healthcare and data systems.
Throughout my projects, I have focused on creating smart assistants, optimizing LLM runtimes, and developing multilingual AI models with a focus on Indic languages. I am keen on leveraging my skills to solve real-world problems and contribute to innovative technological advancements.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Marathi (Marāṭhī)
Fluent
Hindi
Fluent
Work Experience
AI Engineer at Orris Care
June 1, 2025 - PresentEngineered and deployed Retrieval-Augmented Generation (RAG) pipelines on AWS utilizing Pinecone and S3 to automate ingestion, embedding, and semantic retrieval of extensive medical corpora. Developed architecture using LangChain, LangGraph, and LangMem for orchestrating retrieval, memory, and agentic workflows. Integrated Model Context Protocol (MCP) enabling LLMs to autonomously invoke domain-specific tools, supporting dynamic query refinement and real-time evidence aggregation. Delivered a clinician-facing question-answering system with 99.8% validated accuracy, empowering medical professionals and patients. Designed scalable, production-grade, HIPAA-compliant architecture using Infrastructure as Code (IaC), CI/CD pipelines, and observability tools to enhance clinical workflows and patient engagement.
AI Engineer at Orris Care
June 1, 2025 - PresentEngineered and deployed Retrieval-Augmented Generation (RAG) pipelines on AWS using Pinecone and S3, automating ingestion, embedding, and semantic retrieval of large-scale medical corpora. Developed architecture using LangChain, LangGraph, and LangMem for orchestrating retrieval, memory, and agentic workflows. Integrated Model Context Protocol (MCP) to enable LLMs to autonomously invoke domain-specific tools, supporting dynamic query refinement and real-time evidence aggregation. Delivered a clinician-facing question-answering system leveraging RAG pipelines with 99.8% validated accuracy for medical professionals and patients. Designed a scalable, production-grade, HIPAA-compliant architecture improving clinical workflows and patient engagement.
Education
B.Tech. at Parul University
January 1, 2021 - December 31, 202512th at Chanakya Junior College, Pirangut, Pune
January 1, 2020 - December 31, 2020Qualifications
Data Analytics with Python
May 17, 2024 - May 17, 2024Industry Experience
Healthcare, Software & Internet, Education
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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