Computer Engineer · AI & Machine Learning
I'm a computer engineer with a focus on artificial intelligence and machine learning. I enjoy turning complex problems into clean, performant interfaces — from real-time data dashboards to ML-powered tools. Always learning new frameworks and shipping side projects to learn by doing.
- Exploring deep learning, model deployment, and MLOps
- Building data-driven tools and dashboards that turn raw data into clear UX
- Open to collaborations on AI/ML projects and engineering opportunities
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Coinscope — Real-time crypto market tracker as a single-page React PWA. Live price dashboard, squarified treemap heatmap, multi-coin comparison charts, DCA backtesting simulator, portfolio P&L tracker, and browser-notification price alerts. Hand-rolled SVG charts.
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Relay — Real-time collaborative code editor with a hardened Docker-per-run sandbox and an AI pair-programmer. Yjs CRDT sync, Redis pub/sub scaling, streaming run output, Prometheus metrics, and Playwright E2E tests.
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Virtuality Fashion Studio — Next.js 16 + React 19 fashion studio website with Tailwind CSS v4. Modern app-router architecture, image-rich layouts, and contact form integration.
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Link Preview Studio — Paste any URL or topic, preview it across seven social platforms (Twitter, Slack, Discord, Facebook, Instagram, Story, Quote), customize backgrounds and headlines, then export Instagram-ready PNGs with auto-generated captions and hashtags. Mozilla Readability extraction and Wikipedia/HN topic discovery built in.
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InstaAI — Instagram Reels analytics dashboard that scrapes creator accounts via Apify and ranks Reels by virality through a six-phase async pipeline. Google Gemini AI content scoring, trend detection, hashtag intelligence, posting-time calendar recommendations, Excel/ZIP exports, and a 9-tab shadcn/ui dashboard with Recharts visualizations.
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