I am a software engineer and AI product builder specializing in turning complex technology into revenue-generating, production-ready systems. My work sits at the intersection of AI, automation, data, and full-stack software, with a focus on building products that actually operate inside real businesses — not just prototypes. Over the past several years, I have worked across B2B and B2C platforms, delivering solutions in areas such as AI-driven automation, financial data processing, customer-facing web platforms, and operational tooling. I operate as a self-contracted engineer, partnering directly with founders, product leaders, and business owners to design and implement systems that reduce costs, increase revenue, and scale without linear headcount growth. My technical background spans: AI & Machine Learning (document processing, classification, pattern detection, automation pipelines) Backend Engineering (Python, Node, APIs, data pipelines, integrations) Frontend & Product Interfaces (React, NextJS, modern UI/UX for SaaS platforms) Business Systems (finance workflows, reporting, internal dashboards, CRM-style tooling) I have built and shipped: AI systems that read and interpret financial documents (payslips, expense reports, invoices) and convert them into structured, analyzable data End-to-end web platforms that connect users, analytics, and operational workflows Automation engines that replace manual processes across customer support, reporting, and content operations Product telemetry and feedback loops that turn user behavior into roadmap decisions What differentiates my work is that I do not deliver “features.” I deliver systems that run businesses. I am deeply product-oriented: I think in terms of feedback loops, unit economics, and execution velocity. That means every AI model, dashboard, and automation I build is designed to answer a business question: “How does this increase revenue, reduce cost, or improve retention?” I have experience working with: Early-stage startups building their first production platform Growing companies needing to automate and scale operations Data-driven teams seeking to turn raw information into decisions Whether I am building an AI pipeline, a customer portal, or an internal operations tool, my goal is always the same: make the company faster, smarter, and more profitable through technology. I am currently open to fully remote, international engagements where I can act as a high-leverage technical and product partner rather than a commodity developer.…I am a software engineer and AI product builder specializing in turning complex technology into revenue-generating, production-ready systems. My work sits at the intersection of AI, automation, data, and full-stack software, with a focus on building products that actually operate inside real businesses — not just prototypes. Over the past several years, I have worked across B2B and B2C platforms, delivering solutions in areas such as AI-driven automation, financial data processing, customer-facing web platforms, and operational tooling. I operate as a self-contracted engineer, partnering directly with founders, product leaders, and business owners to design and implement systems that reduce costs, increase revenue, and scale without linear headcount growth. My technical background spans: AI & Machine Learning (document processing, classification, pattern detection, automation pipelines) Backend Engineering (Python, Node, APIs, data pipelines, integrations) Frontend & Product Interfaces (React, NextJS, modern UI/UX for SaaS platforms) Business Systems (finance workflows, reporting, internal dashboards, CRM-style tooling) I have built and shipped: AI systems that read and interpret financial documents (payslips, expense reports, invoices) and convert them into structured, analyzable data End-to-end web platforms that connect users, analytics, and operational workflows Automation engines that replace manual processes across customer support, reporting, and content operations Product telemetry and feedback loops that turn user behavior into roadmap decisions What differentiates my work is that I do not deliver “features.” I deliver systems that run businesses. I am deeply product-oriented: I think in terms of feedback loops, unit economics, and execution velocity. That means every AI model, dashboard, and automation I build is designed to answer a business question: “How does this increase revenue, reduce cost, or improve retention?” I have experience working with: Early-stage startups building their first production platform Growing companies needing to automate and scale operations Data-driven teams seeking to turn raw information into decisions Whether I am building an AI pipeline, a customer portal, or an internal operations tool, my goal is always the same: make the company faster, smarter, and more profitable through technology. I am currently open to fully remote, international engagements where I can act as a high-leverage technical and product partner rather than a commodity developer.WWWW…