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Hoe Cheng Wee

Hoe Cheng Wee

Tech Lead, Applied AI | Senior Software Engineer

Singapore, SG
English, Mandarin

Background


About

About

Applied AI Engineer and Technical Lead with 5+ years of experience building end-to-end Machine Learning systems, distributed architectures, and scalable B2B platforms. Expert across the full Software Development Life Cycle (SDLC), specializing in production-grade Computer Vision pipelines, edge-to-cloud workflows, and multi-agent LLM systems. Track record of accelerating application performance, optimizing infrastructure spend, and mentoring engineering teams to deliver high-impact enterprise solutions.

Work Experience

Work Experience

  • Tech Lead, Applied AI, Tagteam Technologies

    Jan, 2024 - Present

    • Architected and engineered a new retail analytics product that processed over 9,000 hours of CCTV footage, deploying a distributed video processing pipeline on GKE utilizing Temporal and Kafka to natively manage complex multi-model asynchronous dependencies and auto-scaling container configurations.

    • Extended the platform to support offline batch video ingestion for a Singapore Tourism Board deployment, engineering a manual upload pipeline and developing an OCR-based parsing module to extract frame-embedded timestamps for automated metadata start-time synchronization.

    • Designed the product's core computer vision pipeline by adapting SAM2 for high-throughput online multi-object tracking outperforming ByteTrack, fusing person detection, custom-finetuned behavioral models, and demographic estimation into a unified real-time metadata generation service.

    • Developed the platform's multi-tenanted architecture, building a fully customizable Vue 3 web dashboard with dynamic Apache ECharts configurations to securely serve diverse clients; integrated an embedded conversational agent to assist users in interpreting complex data visualizations directly within the UI.

    • Led the technical execution of a safety-critical runway anomaly detection system for an international airport, optimizing ONNX/TensorRT inference on Jetson AGX Orin under severe vehicle power constraints to achieve real-time hazard detection; integrated an event-driven MQTT framework with remote API revocation and a live operations dashboard for real-time visualization.

    • Engineered an autonomous multi-agent backend using Python, Vertex AI, and Google Agent Dev Kit, implementing Langfuse for LLM observability; utilized Holt-Winters forecasting to establish predictive intervals, flagging out-of-bound deviations to automate root-cause analysis and generate actionable insight reports for teams lacking dedicated business analysts.

    • Engineered and delivered an image search system proof-of-concept for a marketing agency, integrating a lightweight image captioning model, hybrid search algorithms, and cross-encoder reranking to achieve high-accuracy natural language retrieval of past collaterals using Weaviate.

  • Senior Software Engineer, Tagteam Technologies

    Sep, 2022 - Jan, 20241 year 4 months

    • Led an agile squad to build high-availability B2B web applications and administrative panels on AWS cloud infrastructure, establishing strict code standards, code review protocols, and CI/CD best practices.

    • Cut infrastructure spend by 35% by designing a cost-efficient hybrid ML architecture utilizing onnxruntime to run decoder inference on client devices while offloading heavy embedding extractions to cloud servers.

    • Architected a decoupled, zero-latency interactive mobile semantic segmentation engine to handle complex data manipulation natively on client devices with zero server round-trip latency.

    • Optimized core backend internal APIs using Python and NestJS, eliminating critical latency bottlenecks through efficient MongoDB schema design, strategic indexing, and optimized aggregation pipelines.

    • Hardened platform security posture by conducting thorough vulnerability audits, implementing strict Role-Based Access Control (RBAC) policies, and refactoring core microservices authentication flows.

  • Software Engineer, Tagteam Technologies

    Dec, 2020 - Sep, 20221 year 9 months

    • Devised a React Native mobile-based image polygon bounding interface for complex semantic segmentation datasets, establishing a robust UI/UX architecture that was subsequently licensed to a digital healthcare provider for medical wound segmentation.

    • Engineered local data synchronization logic and state conflict-resolution algorithms for a React Native application's 'Offline Mode' operating in low-connectivity environments.

    • Architected an internationalized (i18n) email transporter service by integrating AWS SES, enabling reliable direct-to-consumer communications such as OTP verification and automated feedback forms.

Skills

Skills

  • Programming Languages

    Python

    TypeScript

    JavaScript

  • Frontend & Mobile

    Vue 3

    React Native

    React

  • AI/ML Production & Computer Vision

    PyTorch

    ONNX Runtime

    TensorRT

    Hugging Face

    OpenCV

    SAM2

    RF-DETR

    Vertex AI

    Google Agent Dev Kit

    Gradio

    Gemini

    Chainlit

  • Backend, Data & Distributed Systems

    Node.js

    NestJS

    FastAPI

    Temporal

    Apache Kafka

    MQTT

    Weaviate

    FAISS

    MongoDB

    Mongoose

    PostgreSQL

    Apache ECharts

  • Cloud, Infrastructure & DevOps

    GCP

    AWS

    Docker

    Kubernetes

    CI/CD Pipelines

    NVIDIA Jetson

Education

Education

  • Computer Science and Design (Degree Not Completed), Undergraduate Coursework, Singapore University of Technology and Design

    May, 2017 - Dec, 2020