张傲

Key Skills

Software

Other

OpenCV AI Kit (OAK)

Top Subject Matter

Industrial Internet / Industrial knowledge assistant

NLP chatbot / customer service automation

Computer vision / image classification

Top Data Types

Text

Image

Document

Top Task Types

Prompt + Response Writing (SFT)

Text Generation

Classification

Object Detection

Tracking

Freelancer Overview

Product Management Intern — AI knowledge assistant data curation and prompt engineering. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other, OpenCV AI Kit (OAK), and OpenCV. Education includes Bachelor of Science, Dalian Neusoft University of Information (2025). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Prompt + Response Writing (SFT), Text Generation, and Classification.

Labeling Experience

Product Management Intern - Beijing Aerospace Cloud Road Co., Ltd.

ImageClassificationTracking

Supported product management for an Industrial Internet product by conducting market research and analyzing competitors, regulations, and industry trends to inform product positioning. Owned the creation of PRDs and interactive prototypes while translating user and business requirements into measurable product indicators for early risk prediction. Coordinated across R&D, QA, Operations, and Marketing to align test and production workflows and enabled compliance capabilities through structured knowledge resources. • Conducted comprehensive industry and competitive analysis for product strategy • Authored PRDs and built Axure RP prototypes with 180+ indicator comparisons • Curated 400,000+ QA pairs and designed prompt engineering templates for industrial knowledge assistants • Led cross-functional coordination and supported go-to-market and post-launch user analytics for continuous improvement

2024 - 2025

Product Management Intern — AI knowledge assistant data curation and prompt engineering

OtherTextPrompt + Response Writing (SFT)

Curated and structured large-scale QA datasets intended to support AI-driven knowledge assistants. Designed prompt engineering templates and mapped industrial knowledge graphs to improve assistant coverage and usability. Focused on preparing instruction-style content (questions and corresponding answers) for downstream model training or retrieval use. • Curated 400,000+ QA pairs • Authored prompt engineering templates • Built mappings across 100+ industrial chain knowledge graphs • Supported compliance-oriented knowledge chunking for legal provisions

2024 - 2025

AI-Powered Chatbot System — LLM application development (prompt/response workflow)

OtherText Generation

Developed an AI-powered chatbot that generates contextual conversational responses using an LLM integration. Implemented application logic to handle real-time user interactions and secure message exchanges, enabling high-quality dialogue generation. Integrated the chatbot with enterprise CRM systems to support handoff workflows between AI responses and human agents. • Built chatbot system with LangChain and OpenAI GPT • Implemented real-time WebSocket communication secured via HMAC SHA-256 • Delivered asynchronous UI interactions using Ajax • Integrated with CRM systems for AI-to-human handoff

2024 - 2024

Fruit Recognition System — CNN & MobileNet image model training and evaluation

OpenCV AI Kit (OAK)ImageClassification

Built a fruit image classification system using CNN and MobileNet architectures with image-based real-time inference support. Implemented model training and performance evaluation workflows to achieve 96%+ recognition accuracy. Prepared the system for deployment via web APIs and supported visualization of training dynamics to guide iterative improvements. • Trained CNN/MobileNet for high-accuracy fruit classification • Supported real-time camera input for instant classification • Deployed models using Django/Flask APIs with MySQL/MongoDB • Visualized loss and accuracy trends with matplotlib

2023 - 2024

Real-Time Beauty Camera Application — face/landmark-based computer vision model integration

ImageObject Detection

Engineered a real-time beauty camera application using facial landmark detection and dlib-based face recognition features. Implemented image processing steps such as brightness/contrast adjustment, color space conversion, and background bokeh to enhance portrait outputs. Integrated cloud services for photo storage/sharing while enabling real-time facial recognition functionality. • Used dlib facial landmark detection for AR face effects • Implemented image enhancement and bokeh background processing • Enabled real-time facial recognition features • Integrated cloud backend for photo storage and sharing

2023 - 2023

Education

Work History