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BryanTheLai/README.md

Bryan Lai

Software / ML engineer building reliable AI systems, automation, and products that survive contact with the real world.

I work mostly in Python and TypeScript, across backend systems, AI applications, integrations, evaluations, and deployment.

Website · Hugging Face · Email

Selected Work

KaunterAI

Malaysia-first autonomous service desk for residential aircon operators.

Telegram text and voice → booking → evaluation → human-approved SOP improvement.

TypeScript Supabase OpenAI Google Calendar Docker

StackRAG · frontend

Multi-tenant financial document intelligence platform with PDF ingestion, multimodal extraction, RAG, secure data isolation, APIs, and evaluation.

Python FastAPI PostgreSQL pgvector React TypeScript

Billing AI

WhatsApp-first accounts-receivable workflow with invoice status, payment events, reminders, AI decisioning, and a human review queue.

AWS Amazon Bedrock FastAPI Next.js Stripe Twilio

GPU OCR

Asynchronous GPU-backed OCR service for PDF and image processing, with task queues, Redis, Docker, and structured extraction.

Python FastAPI Celery Redis PaddleOCR CUDA

What I Care About

The interesting part of AI is not the demo. It is everything required to make the system dependable:

  • evaluations and failure analysis
  • observability, health checks, and operational tooling
  • idempotency, retries, and durable workflows
  • authentication and data isolation
  • human-in-the-loop controls
  • deployment, rollback, and recovery paths

Products and Writing

Background

  • BSc Data Science
  • Diploma in Software Engineering
  • Borneo Hackathon — Idea Category
  • FutureHack — 2nd Place
  • Solana Flipflop Hackathon

Pinned Loading

  1. StackRAG-Backend StackRAG-Backend Public

    Multi-tenant financial document intelligence platform with multimodal extraction, RAG, secure tenant isolation, APIs, and evaluation.

    Jupyter Notebook 2

  2. ocr-inference-gpu ocr-inference-gpu Public

    Asynchronous GPU OCR service for PDF and image processing with FastAPI, Celery, Redis, Docker, and PaddleOCR.

    Jupyter Notebook 1

  3. cogniquery cogniquery Public

    Slack-native natural-language data analyst that turns database questions into SQL, charts, and PDF reports.

    Python 1

  4. ripe-strawberry-detector ripe-strawberry-detector Public

    YOLO-based model for detecting ripe strawberries in images. Fine-tuned for accuracy with real-world strawberry datasets.

    Jupyter Notebook 3 1

  5. Malay_Language_Lexicon Malay_Language_Lexicon Public

    This repository contains a data engineering project aimed at processing and analyzing scraped data using PySpark, Redis, and Neo4j. The goal is to efficiently store, process, and analyze text data.

    Jupyter Notebook

  6. intent-classifier-pytorch intent-classifier-pytorch Public

    Intent classifier with Pytorch for short conversational utterances (e.g., booking, cancellations, product or account inquiries, support requests, and greetings) with training, evaluation, and infer…

    Python

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