I turn messy workflows into revenue-ready software: strategy, AI automation, full-stack execution, and growth measurement in one build cycle.
Strategy, AI workflows, full-stack execution, and growth measurement in one loop.
A quick look at how I think, build, and connect software decisions to business outcomes.
Full-Stack Software Engineer | Generative-AI & SaaS Specialist
I am a full-stack engineer focused on AI products: the kind that move from prototype to real users, with clean interfaces, reliable back ends, and measurable outcomes.
Over the last 7 years I have built SaaS apps, internal tools, e-commerce systems, and generative-AI workflows with React, Next.js, Node.js, Python, TypeScript, MongoDB, Postgres, AWS, and Vercel.
My strongest work sits at the intersection of product and engineering: turning unclear business goals into scoped releases, validating what matters, and shipping systems that can scale beyond the first demo.
I am currently open to mission-driven teams building ambitious AI products, workflow automation, research tools, and data-rich SaaS experiences.
I am most useful where product, growth, and engineering overlap: figuring out what should exist, building it well, then measuring whether it creates value.
Turn LLMs into usable product workflows, not just impressive demos.
Find the work customers already pay for, then use AI to remove friction, compress time, or create a new paid tier.
Design and build the product surface, API layer, and data model needed to launch.
Scope lean releases, protect the core user journey, and keep engineering decisions tied to revenue and retention.
Shape landing pages, funnels, campaign ideas, and messaging around the buyer's actual problem.
Bridge product and marketing so features become clear offers, not vague technical claims.
Instrument the product, read behavior, and decide what to improve next.
Use GA4, Mixpanel, funnels, and A/B thinking to move from opinions to evidence.
Replace slow internal workflows with dashboards, automations, integrations, and AI-assisted tools.
Look for repeated manual work, cost leaks, and handoff points where software can create immediate leverage.
Keep the product reliable with deployable back ends, storage, jobs, and observability.
Choose infrastructure that fits the stage: fast enough for launch, structured enough to survive growth.
A selected set of products and systems spanning research, sales automation, catalog intelligence, retail media, consumer AI, travel search, recommendations, and service-business lead capture.
Academic research SaaS that uses semantic search, LLM summaries, and RAG workflows to help users move through literature reviews faster.
Sales tool that turns screenshots into completed customer forms, helping reps capture field details faster and reduce manual entry.
Catalog intelligence platform for evaluating product data quality, surfacing gaps, and helping teams improve marketplace readiness.
AI-powered grocery ad platform with real-time chat, campaign generation, and a multi-tenant SaaS foundation.
Consumer AI image app that turns user photos into Halloween costume concepts with a saved gallery experience.
Flight search experience with live flight data, animated map routes, and an airport database optimized for server-rendered performance.
AI headshot generator that creates polished profile images for LinkedIn, resumes, and professional portfolios.
Book recommendation and reading analytics platform using semantic search, personalization, and habit tracking.
Business landing page for a tax and payroll firm, designed to clarify services and drive qualified inquiries.
Each role added a layer: commerce, internal operations, service-business systems, SaaS product engineering, and AI-native product builds.
Bootstrapped and shipped AI-driven SaaS products for clients and internal ventures, owning product scope, UX, implementation, and launch quality.
Build and maintain customer-facing campaign management and communication workflows in a marketing technology product environment.
Worked directly with business stakeholders to understand manual processes and build internal tools that supported daily operations.
Supported Shopify e-commerce operations across technical upkeep, catalog accuracy, merchandising, analytics, and digital sales workflows.
Send a note about an AI product, SaaS build, workflow automation, or growth system. I am interested in work where engineering and business outcomes need to line up.
