Ni Liu

AI Researcher

Hangzhou, Zhejiang, China5 yrs 3 mos experience

AI EnabledHighly Stable

Key Highlights

Five years of experience in AI and software development.
Expertise in Generative AI technologies and deep learning frameworks.
Proven track record of optimizing algorithms for enhanced performance.

Stackforce AI infers this person is a Generative AI and Software Development expert in the SaaS industry.

Contact

Skills

Core Skills

Generative AiMachine LearningSoftware DevelopmentCi/cd

Other Skills

Amazon Web Services (AWS)App OptimizationArtificial Intelligence (AI)Artificial Intelligence for BusinessC++Chatbot DevelopmentCode GenerationCommunicationComputer VisionComputer-Aided Design (CAD)Convolutional Neural Networks (CNN)Deep LearningDeepFloyd IFDeepLabV3PlusDevOps

About

Ni is a machine learning engineer at PropTexx with an academic background in information engineering. Five years of experience in AI and software development represent a proven track record of delivering innovative AI-powered software applications. Through leading and participating in numerous projects, Ni is adept at leveraging data-driven insights to optimize algorithms and enhance product performance, also developed her expertise in cutting-edge technology solutions. With a mission to solve complex real-world problems and drive business success by pushing the boundaries of AI and machine learning, Ni continues further honing her skillsets to create innovative solutions, and is seeking new opportunities and challenges. SPECIALITIES: ✅Generative AI technologies: Stable Diffusion, SD inpaint, Deepfloyd-if, SDXL, Fine-Tuning (DreamBooth, Lora), GANs ✅Deep learning Frameworks: PyTorch, Tensorflow, Keras ✅Data preprocessing: NumPy, Pandas, OpenCV ✅Programming/scripting languages: C++ (advanced), Python (advanced), Objective-C, Swift ✅CI/CD tools: Jenkins, Git ✅IELTS scores:6.5

Experience

5 yrs 3 mos

Total Experience

2 yrs 7 mos

Average Tenure

Current Experience

Proptexx

Generative AI Engineer

Jul 2024 – Mar 2025 · 8 mos

Focused on generating images for empty room decoration and refurnishing projects, enabling clients to visualize potential designs and furniture placements;
Implemented fine-tuning techniques to tailor large models for specific applications, achieving significant
improvements in model accuracy and efficiency.

Generative AIFine-TuningModel AccuracyImage GenerationMachine Learning

Cisco

2 roles

Software Engineer

Apr 2020 – Nov 2023 · 3 yrs 7 mos · Hangzhou, Zhejiang, China · On-site

Software Engineer

Apr 2019 – Apr 2020 · 1 yr · Hangzhou, Zhejiang, China · On-site

As a Software Engineer, my main responsibilities there include the below:
1. Maintained a variety of launching methods: URL Protocol, extension and installation package start-up, etc.;
2. Handled multiple parameter transfer streams, and persist them in database, keychain and other locations and maintain the life cycle of parameters;
3. Realized the delta update module, improved the user experience by increasing the download speed by 70%;
4. Achieved the function of the daemon process, performed tasks periodically, and improved the speed of the meeting;
5. Responsible for the app startup optimization, increasing the app startup speed by 16%;
6. Led the app slimming project, and reduced the app size by 40MB;
7. Encapsulated CI script based on Python, and implemented functions such as making pkg and dmg, etc.;
8. Optimized the CI script, changed the time-consuming steps of packaging to concurrent, and improved the packaging speed by 60%.