Himanshu Poptani

Developed an AI-driven knowledge platform for medical professionals, enhancing information retrieval accuracy through vector embeddings and integrating Model Context Protocol for improved interoperability.

Developing an AI-driven knowledge platform for medical professionals, focusing on RAG pipelines and vector embeddings for enhanced information retrieval. Implemented Model Context Protocol (MCP) for improved interoperability between AI models and data sources.

Launched an AI assistant with productivity agents to automate scheduling and prevent burnout. Implemented a multi-agent system to prioritize tasks and enhance contextual relevance in task suggestions.

Launched an AI assistant with multiple productivity agents, improving task management and burnout prevention through a multi-agent system and RAG architecture.

Engineered a comprehensive calendar interface using Next.js and Tailwind CSS, enhancing user engagement. Integrated Web3 authentication mechanisms and maintained a robust backend with MongoDB and Node.js.

Engineered a comprehensive calendar interface using Next.js and Tailwind CSS, integrated Web3 authentication, and maintained a robust backend with MongoDB and Node.js.

Developed an image search engine using Weaviate and TensorFlow, achieving significant improvements in image retrieval efficiency and precision through vector-based search.

Created a question-answering system using LangChain and Chroma, achieving high accuracy in natural language processing tasks. Improved query retrieval times significantly.

Created a question-answering system using LangChain and Chroma, improving query retrieval times and achieving high accuracy in natural language processing tasks.

Developed an image search engine using Weaviate and TensorFlow, improving retrieval efficiency and precision. Fine-tuned vector search algorithms for enhanced performance.

Designed and deployed multiple AI tools utilizing RAG architectures, developed multi-agent systems, and provided end-to-end solutions for clients' data infrastructures.

Designed and deployed AI tools utilizing RAG architectures and developed multi-agent systems to automate workflows, improving delivery times. Provided comprehensive solutions from database design to cloud deployment.

Pursuing a Bachelor of Technology in Computer Science, focusing on the principles of computer science and engineering. Engaged in various projects and research related to AI and software development.