Jerod E.

I help businesses turn complex workflows into reliable software. I combine hands-on Python, API, and AI engineering with the communication skills to understand your goals, clarify requirements, and carry a solution through implementation and production support. My experience includes automation projects at Santander collectively delivering approximately $500,000 in annual savings and enterprise chatbot systems at IBM supporting more than 450,000 users. I’m comfortable working directly with business stakeholders, vendors, and engineering teams. At Santander, I’ve partnered with internal teams to define requirements, architected vendor integrations, coordinated integration testing, and supported services in production. Earlier, I managed developers and analysts, prioritized backlogs, coordinated releases, and trained stakeholders on technical tools and processes. For clients, that means I can contribute both to the conversations that define the work and to the engineering that gets it delivered. How I can help: • Technical discovery and solution design: Understand your workflow, clarify requirements, identify dependencies, and turn business needs into an actionable implementation plan. • Backend development and integrations: Build Python services and APIs with FastAPI, Django, Flask, and SQLAlchemy; connect vendors, internal systems, and business applications. • Business automation: Replace repetitive manual processes with maintainable workflows. • AI applications: Build and integrate chatbots and AI capabilities using tools such as LangChain, LangGraph, IBM watsonx, and vector databases. • Data engineering: Build and troubleshoot ETL pipelines, optimize SQL, and improve data processing. • Deployment and production support: Diagnose issues, coordinate testing, document solutions, and help teams operate what we build. At IBM, I integrated dozens of data sources, implemented hundreds of processing endpoints, and contributed to generative AI applications. At Santander, my work includes FastAPI vendor integrations and Python processing services for workflows involving terabytes of data. I also bring experience with React, TypeScript, AWS, Docker, and Kubernetes. I’m particularly interested in forward-deployed engineering engagements: working closely with your team to understand a problem, adapt software to your environment, and deliver a practical solution. I can explain technical tradeoffs to nontechnical stakeholders while working through implementation details with engineers. Based in Texas and available for remote contract and freelance projects. Tell me what you’re trying to accomplish, which systems are involved, and where you’re getting stuck.