Ni L.

Ni is a machine learning engineer at Cisco with an academic background in information engineering. SPECIALITIES: ✅Video Generation Models: VEO-3, seedance, wan, I2V, Stable Video Diffusion; ✅Generative AI Tools: VEO, GANs, Stable Diffusion (SD inpaint, SDXL), Flux, Fine-Tuning (DreamBooth, LoRA); ✅Programming Languages: C++, Python, JavaScript, Java; ✅Quality Control: LLM Evaluation & Benchmarking, Metrics-Driven Validation, AI-Powered QA Tools; ✅Deep Learning Tools & Libraries: PyTorch, TensorFlow, Hugging Face Transformers, ComfyUI; ✅Data Processing: NumPy, Pandas, OpenCV, SQL; ✅Model Training & Deployment: CUDA, Distributed Training, TensorBoard, Data Cleaning, AWS, Azure, Docker; ✅Certifications: AWS Certified Machine Learning – Specialty; ✅Awards: Silver Medal at the Kaggle Competition (Kaggle-LLM Science Exam); ✅Languages: Chinese (Native), English (Full Professional Proficiency, IELTS 6.5); 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.