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swindar-zhou/README.md

About Me

Hi! I am Swindar, a software engineer with experience building full-stack systems and AI-powered products. I enjoy turning complex ideas into reliable, human-centered products at the intersection of engineering, data, and product design.

Selected Project Highlights

A-PACE: Real-Time Biosensor Analytics Toolkit
Developed a web-based signal processing platform for electrochemical biosensor data, reducing manual labeling from hours to seconds; co-authored a bioRxiv preprint.
→ Paper Paper
Tech: Python, ML pipelines, FastAPI, interactive scientific visualization

NLP Project: Regex Engine from Scratch (Python)
Built a custom regular expression engine without using built-in regex libraries, including parsing, matching, capturing groups, and backreferences.
→ GitHub Repo
Tech: Python, formal languages, parsing, state machines

StylePilot.ai – AI Styling Copilot
Designed system architecture for an AI wardrobe digitization and outfit recommendation product, combining vision tagging with user preference modeling.
→ Website Website
Tech: AI systems, full-stack development, product design

Pruun – SaaS Landscaping Marketplace & CRM
Built and shipped a full-stack B2B marketplace and CRM supporting 37 properties and 325 jobs. Implemented end-to-end RFQ to booking flows, increasing conversion by 20%, and enabled real-time updates with Socket.IO.
→ Website Website
Tech: React, Node.js (Fastify), PostgreSQL, Redis, Socket.IO, SendGrid, Twilio, CRM systems

Skills

Programming Languages

Python TypeScript JavaScript Java SQL

Frontend & Backend

React Flutter FastAPI Node.js Flask GraphQL Redis PostgreSQL RESTful API

Cloud / DevOps

AWS Docker Kubernetes GitHub Actions

Competencies

RAG pipelines • LLM evaluation & monitoring • Embeddings • Reranking • Service & API architecture •
AI inference pipelines • Caching strategies • Full-stack development • CRM systems

Let's connect

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  1. NVIDIA-rag-for-llm-project NVIDIA-rag-for-llm-project Public

    Design & Implement Complex RAG system for LLM from the ground up

    Python

  2. LLM-for-equity-research LLM-for-equity-research Public

    Dynamic RAG LLM pipeline inspired by Claude Code architecture for fundamental equity research

    TypeScript

  3. stock-market-pulse stock-market-pulse Public

    A clean, full-stack web app for understanding stock market movements

    TypeScript

  4. FeedbackOps FeedbackOps Public

    Cloudflare Workers + D1 powered feedback dashboard that analyzes and clusters product feedback by theme, sentiment, and urgency to help teams triage issues faster with AI-generated action suggestions.

    TypeScript

  5. iTREDS-gov-database-project iTREDS-gov-database-project Public

    Extract maternal health program data from U.S. county websites using LLMs

    Python

  6. regex-engine regex-engine Public

    A custom regular-expression engine implementing parsing, matching, and backreferences—built without using Python’s re library.

    Python