AI Automation
I build AI automations that replace repetitive manual work.
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I built Vault Brief, an AI-powered reporting platform for Web3 teams.
The platform helps crypto founders turn wallet data, GitHub activity, token metrics, and project context into structured investor reports.
The goal was to reduce manual reporting work and make it easier for teams to create clear, reviewable updates for investors, grants, and stakeholders.
My work included full-stack development, AI report generation logic, data flow, dashboard UI, backend integration, and PDF-ready report output.
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I built DAO Sentinel, an AI-powered Web3 governance monitoring platform for DAOs, delegates, foundations, and crypto researchers.
The platform tracks DAO proposals, voter turnout, whale votes, voting power concentration, governance risks, and Democracy Scores across monitored DAOs.
The goal was to turn raw governance data into a clear monitoring cockpit. Instead of manually checking proposals, Snapshot spaces, voter activity, and governance risks, users can follow DAO activity from one dashboard.
The system includes DAO explorer, proposal tracking, alert feeds, delegate views, weekly digest logic, and governance risk monitoring. It helps users detect whale activity, low participation, power concentration, and important governance changes faster.
My work included full-stack development, dashboard UI, backend logic, database structure, governance data pipeline, automated monitoring flows, AI-assisted summaries, and Web3 data integration.
This project shows my ability to build AI automation systems, Web3 dashboards, data monitoring tools, and SaaS-style products that turn complex information into useful workflows.
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I built an AI-powered Instagram and LinkedIn content automation engine for creating branded social media posts faster.
The system turns a simple topic into a ready-to-review content package: caption, hashtags, SEO keywords, branded image cards, post preview, export package, and Instagram publishing workflow.
I also built a Trend Finder workflow that tracks competitor Reels, extracts hooks, hashtags, CTAs, and engagement signals, then uses AI to adapt those trends into new on-brand content ideas.
The app was built as a desktop tool with a local FastAPI backend, database, native window interface, branded templates, stock image integrations, Instagram API publishing, and optional Telegram bot flow.
The goal was to reduce manual content work: no more writing captions from scratch, manually researching competitors, copying trends, formatting post cards, or preparing exports by hand.
This project shows my ability to build practical AI automation systems for social media, content generation, trend research, API integration, and publishing workflows.
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I built an AI-powered YouTube Shorts automation pipeline that turns a niche and topic into a ready-to-publish vertical video.
The system automates script generation, voiceover, B-roll selection, subtitle alignment, video assembly, YouTube metadata, and upload preparation.
It was built as a Python CLI workflow using AI models, ElevenLabs, stock and AI video sources, ffmpeg, subtitle alignment, topic deduplication, and browser automation.
The goal was to reduce manual video production work and create a repeatable system for producing short-form content faster.
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