AI Systems
QualityWatcher AI
AI-assisted generation, browser execution, evidence, analytics, and human-controlled release gates.
Software Engineer & Solutions Architect
I turn complex problems into practical solutions—combining product strategy, AI, engineering, automation, and quality to move from an idea to something people and businesses can rely on.

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Years Experience
$0K+
Revenue Generated
0K+
Users Reached
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Solutions Built
Business & Platform Solutions
I create customer-facing experiences, enterprise platforms, and operational systems—then connect the strategy, engineering, automation, and quality needed to make them work.
Founder & Product Engineer
A bootstrapped AI photography company serving more than 50,000 users and generating over $200K in revenue through an automated web and mobile product.
Lead Architect & Frontend Engineer
An agentic AI test automation platform that combines intelligent capture, test generation, autonomous execution, analytics, and human-controlled quality gates.
Founder & Product Engineer
A web and mobile AI music platform for turning lyrics and ideas into songs, videos, thumbnails, metadata, and repeatable YouTube-ready creator workflows.
Creator & Platform Engineer
Originally built as AgentStorage, SeetYah is direct-to-object-storage infrastructure for AI agents and teams, with signed file access, private agent assets, developer APIs, and human-in-the-loop review workflows.
Personal AI Operations Project
A private, personal AI operations dashboard for coordinating assistants, tasks, activity, documents, and human review across my own product portfolio.
Creator & Platform Engineer
A portable agent-persona registry with a package format, CLI, MCP server, marketplace sync, private sharing, and monetization infrastructure.
Consumer Solutions
Focused solutions that make new AI capabilities useful across work, personal style, learning, creativity, communication, research, and writing.
Turns a single selfie into consistent, studio-quality professional headshots.
An AI fashion stylist for virtual try-ons, outfit planning, and smarter wardrobes.
A personal AI tutor that uses the Feynman Technique to turn any topic into active learning.
A virtual hair studio for trying new cuts, colors, and styles before committing.
A personal AI photo and video studio for creating expressive visual content.
Turns an idea, mood, or lyric into a complete AI-generated song in minutes.
Engineering & Architecture
I design and build complete solutions with quality ingrained from architecture and implementation through delivery, observability, and continuous improvement.
AI Systems
AI-assisted generation, browser execution, evidence, analytics, and human-controlled release gates.
Enterprise Modernization
Engineering quality across fintech, ERP, ecommerce, supply chain, and complex connected workflows.
Platform Reliability
UI, API, visual, and performance systems integrated with Kubernetes and continuous delivery.
High-Traffic Delivery
Launch confidence for payment migrations and major platform rebuilds serving large audiences.
Engineering Foundations
Reusable API, web, and mobile automation foundations across logistics, finance, and delivery products.
Ways to work together
Practical AI support for individuals and companies, plus recent talks and knowledge sharing.
Book a focused individual working session or start a company discovery conversation for AI workflows, agents, and custom solutions.
Explore company servicesFeb 10, 2021
Spoke about scaling your test automation using the data-driven technique in test automation. Used 3 popular frameworks (Cypress, WebdriverIO, NightwatchJS) to demonstrate that you only need to understand the concept because it can be achieved in any automation project.
Apr 28, 2022
Imagine this... You are an automation engineer and you are tasked to automate a workflow in an application that has multiple entry points for different inputs. What is the most efficient way you could ensure that you have all the test coverage that is needed per permutation and that you will be able to easily manage the test data? We know that maintaining test data for automation can be tedious and creating different test cases using different types of test data can be time-consuming. These issues can be solved by separating test data from test scripts. Whether you're a beginner or senior automation engineer, understanding the benefits (and drawbacks) of using data to drive testing can help you save lots of time during test creation and coverage. In this talk, I'll explain the Data-Driven testing approach, how you can leverage it in your test automation, and how you can get started with a data source that works for you. You will learn how to spot tasks that should use this technique, how to prepare test and validation data in one file/data set, how to structure your test code, and what data sources to use in your project.
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