Wish to share a previous achievement at Teamwork Ltd. I played a key role in developing a robust new Procurement Management Workflow.
This wasn't just a process update—it was a full-stack digital transformation! We leveraged the power of AWS Step Functions to orchestrate complex tasks, backed by scalable Lambda functions, a reliable Aurora DB for data persistence, and Python for core logic.
The result is a streamlined, efficient, and fully automated procurement process that significantly reduces overhead and increases accuracy. Excited to continue driving innovation!
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Exciting News: Multi-Agent Supervisor Release!
I'm thrilled to announce the successful development and release of a Multi-Agent Supervisor for my bioscience client!
This project leveraged the power of LangChain and LangGraph to create a sophisticated, self-correcting query system:
Intelligent Evaluation: The initial supervisor agent intelligently evaluates client queries and, when necessary, proactively asks for more details to ensure maximum context and accuracy.
Dynamic Task Orchestration: The core Supervisor agent effectively orchestrates multiple specialized sub-agents.
Deep Bio-Database Integration: These sub-agents are designed to connect with and query multiple specialized bioscience database tools, allowing for comprehensive and precise data retrieval.
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successful delivery of an AI chatbot for our Bio Science team! This tool is specifically designed to work seamlessly with their nf-core pipelines, enabling them to get enhanced interpretation and accelerate their research.
The chatbot provides end-to-end support:
Pipeline Selection: Helps in choosing the most appropriate nf-core pipeline for their specific analysis.
Sample Sheet Generation: Supports the creation of accurate sample sheets, simplifying the initial setup.
Multi-Step Results Interpretation: Provides clear, step-by-step guidance and interpretation of the complex pipeline results.
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Excited to share a recent project where I leveraged the power of AI to transform data analytics!