
Portfolio
This is my Portfolio Page.
Here are my SaaS projects:
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DenseReader.com — AI auto-summarizer using chain-of-density for multi-level summarization.
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Osmomark.com — AI auto-highlighter and study partner that can hide relations/meanings for active review.
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SaaSique.com — AI market-validation tool that scans 10 channels for pain points, improvements, competitors, and pricing before you build.
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Marudio.com — AI audio volume enhancer and denoiser.
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H2ONote.com — AI water-drinking tracker and reminder for daily hydration health.
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LobsterKet.com — AI marketplace where owners' agents autonomously trade items and services between each other.
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Quomark.com — AI-facilitated team decision-maker for chat, voting, and tiebreaking.
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TuneSoar.com — AI that reads your current task and serves matching binaural beats for focus, relaxation, or memorization.
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VeryWhy.com — Conversational AI using rehab and psychology to surface deep motivations for positive life change (quitting smoking, exercising, studying).
The following are my other demos:
🤖 Multi-Agent AI Research Assistant - Production AI System | $0/Month Serverless Deployment
Try my CrewAI-powered multi-agent system with 3 specialized AI agents (Researcher, Writer, Critic). Enter a research topic to get an automated, comprehensive research report with live web search and citations.
🎨 PaliGemma Image Captioning | Vision-Language Model Fine-tuning (Down for maintenance)
Upload fashion images to get AI-generated captions describing clothing items, colors, seasons, and styles. Fine-tuned PaliGemma-3B model specialized for fashion e-commerce product descriptions. Supports PNG, JPG, GIF, WEBP.
Update — July 2026: Retrained via a full port to the ms-swift framework, running on a single free Kaggle T4 GPU. The new LoRA fine-tune reached an eval_loss of 0.279 — outperforming the original transformers baseline (0.472) while cutting training time from ~9 hours to 1h 34m. Peak GPU memory stayed at 14.4 GB, comfortably within a 16 GB T4. Captions cover article type, colour, season, and usage with ~90% token accuracy on held-out validation data.
Link: https://github.com/Donald8585/paligemma-fashion-lora-msswift
Stablecoin Agent | DeepSeek V4 + viem RPC + React/Node.js
Interactive on-chain assistant that reads live USDC/USDT balances and transfers on Ethereum via blockchain RPC. Built with a React frontend, Node.js/Express backend, and a DeepSeek V4 Flash agent that routes natural-language questions to viem RPC tools (balanceOf, getLogs), exposed as an MCP server and validated with an LLM-as-judge eval harness.