I’m an early-career developer focused on AI-assisted development, workflow automation, and building practical software solutions. I combine web development fundamentals with tools like n8n, Gumloop, and AI/LLMs to turn ideas and repetitive processes into working applications and workflows.
n8n
An AI-assisted content workflow that takes web content and helps transform it into platform-specific content such as video scripts, social media ideas, LinkedIn content, and YouTube metadata. Built while experimenting with workflow automation, n8n and LLM tools.
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A full-stack AI application designed to help users understand complex healthcare information in a simpler format. Built using Next.js, Supabase and LLM APIs, with a focus on practical AI application development and user-friendly interfaces.
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An experimental AI application exploring how prompts, conversation context and different response instructions can influence AI-generated negotiation scenarios. Built to experiment with prompt engineering and contextual AI interactions.
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An AI-assisted application that explores automated responses to incoming business emails. The project focuses on using AI to understand incoming requests and generate context-aware response drafts that can reduce repetitive communication work.
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A full-stack web application combining conversational assistance, symptom-related information, medication reminders and browser-based location functionality. Built to strengthen my understanding of React, Node.js, APIs and practical full-stack development.
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A browser extension experiment focused on making web content easier to read and navigate. Includes text formatting tools, focus features, text-to-speech support and visual content transformation using browser-side JavaScript.
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An experimental automated content workflow that explores how AI, APIs and automation can be combined to move from content research and script generation toward voice and video production. Built as a practical experiment in AI-assisted workflow automation.
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A Gumloop-based automation workflow I built to experiment with automating parts of the job application process. It takes a job description, extracts relevant requirements, uses AI-assisted processing to prepare tailored application material, and produces an ATS-friendly PDF output. This project was one of my practical experiments in using no-code automation and AI together.
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Advanced engineering execution inside the Anthropic model ecosystem. Specializes in multi-modal prompting strategies, strict context window token conservation, structural XML-tag handling, and building deterministic output schemas for complex full-stack tool integrations.
Intensive architectural validation for designing autonomous agent frameworks. Covers automated tool-use orchestration loops, programmatic reasoning pathways, dynamic memory management patterns, and system routing to build production-ready agent environments.
Comprehensive credentialing in systemic AI principles, neural net layers, machine learning workflow pipelines, and rigorous algorithm governance guidelines necessary for modern enterprise compliance and product reliability.
Systemic study of large language model internal logic, focusing on advanced zero-shot/few-shot structural layouts, programmatic chain-of-thought routing, and inference hyperparameter tuning to maximize execution accuracy.
Technical engineering validation in relational database management systems. Masters complex schema design normalization, relational query optimization layers, indexing execution strategies, and transactional integrity validation for backend architectures.
Completed hands-on enterprise simulator environments covering algorithmic data scrubbing configurations, pipeline automation processing, and clean dashboard layout analytics to feed decision-making loops at scale.
Interested in a project, collaboration, or technology opportunity? Feel free to reach out. I'm always interested in building useful products, experimenting with AI and automation, and learning from interesting technical problems.