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alexv6v6/README.md

πŸ‘‹ Hi, I’m Alex Valencia

πŸŽ“ Systems Engineer | πŸ“š M.Sc. in Strategic Information Management

I design information systems that transform complex business knowledge into implementable software solutions.

My work focuses on business systems analysis, information and process modeling, functional solution design, and AI-enabled knowledge systems. I specialize in translating regulations, operational processes, and domain expertise into structured specifications that can be implemented consistently across different technologies.

Over the last 11+ years I have worked at the intersection of business, data, and technology, designing functional models, business rules, system integrations, SQL-based analytical solutions, and AI-powered knowledge management tools.

My current projects explore how RAG, Text-to-SQL, automation, and specification-driven development can improve software quality, reduce ambiguity, and accelerate solution design.

🧭 My approach

I believe that software quality depends more on the quality of the underlying specification than on the implementation technology. My projects follow a specification-first approach:

  • Understand the domain
  • Model the information
  • Define business rules
  • Design the functional behavior
  • Validate the specification
  • Use AI to accelerate implementation and testing This is the principle behind my work in information systems, business analysis, and AI-enabled knowledge management.

πŸ“– What I’m researching

I’m particularly interested in how organizations can preserve and operationalize knowledge through information systems and AI. Current areas of exploration:

  • Specification-Driven Development
  • Knowledge modeling for AI systems
  • RAG architectures for organizational memory
  • AI-assisted business systems analysis
  • Information quality and decision-support systems

🧩 Featured Projects

🧠 AI Knowledge Hub

Designing knowledge systems for organizations

Designed and built a modular knowledge management platform that transforms organizational documentation and structured databases into a unified natural-language query system.

My role: knowledge modeling, information architecture, RAG design, Text-to-SQL integration, evaluation framework design, and specification-driven development.

Key focus: translating organizational knowledge into a structured system that improves information retrieval and decision support.


πŸ“Š Business AI Agent

Turning business data into decision-support systems

Developed an AI-powered business analyst capable of interpreting business metrics, invoices, and operational data to generate executive insights and reports.

My role: business logic modeling, KPI definition, SQL design, prompt architecture, and analytical workflow design.

Key focus: connecting business processes with AI-assisted analysis.


πŸ“§ WhatsApp AI Bot

Automating operational workflows through conversational interfaces

Designed a workflow automation system that integrates messaging, AI, and business processes to automate repetitive communication tasks.

My role: workflow design, process automation, integration architecture, and conversational logic.

Key focus: improving operational efficiency through intelligent automation.


πŸ”„ Weekly Report Automation

Automating information consolidation and reporting

Built an automated reporting workflow that consolidates operational data from PostgreSQL and Excel into periodic management reports.

My role: data integration, SQL analytics, automation design, and reporting workflow architecture.

Key focus: transforming dispersed operational data into structured management information.

πŸ“« Let's connect:
LinkedIn

Popular repositories Loading

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    Hybrid RAG + Text-to-SQL knowledge system. Query documents and databases in natural language. Built with Groq, ChromaDB and FastAPI using RAG and Text-to-SQL.

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    REST API built with FastAPI for managing and querying invoices. Includes Swagger documentation and cloud deployment support.

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    RAG system with multi-model comparison (TF-IDF, BM25, MiniLM, BGE) using FAISS indexing and evaluation metrics: Precision@k, Recall@k, MAP and MRR.

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    Conversational WhatsApp bot integrated with artificial intelligence, persistent memory, and PostgreSQL database querying.