1. Machine Learning：Proficient in using machine learning algorithms such as Linear Regression,Logistic Regression,Clustering Algorithms,Gradient Boosting Trees etc ; Proficient in using machine learning frameworks (Sklearn, Xgboost, LightGBM, Catboost, K-means)

2. Deep Learning: Proficient in using deep learning algorithms such as RNN,LSTM,Bi-LSTM,,Transformer,BERT,BERT variant,GAN,VAE ,able to handle Text classification, Entity Recognition, Intent Recognition, Sentiment Analysis; Proficient in using Deep learning frameworks (TensorFlow,PyTorch,Keras,PaddlePaddle)

1. AI Environment Deployment: Proficient in deploying AI related environments, including model deployment(Qwen series, DeepSeek series, SD, Sora, ASR , TTS, vllm, sglang, gpustack ), AI related database deployment(Milvus, Elasticsearch, PostgreSQL), model orchestration tool deployment(Dify,ragflow,GraghRAG), AI training tools deployment, AI gateway deployment, and AI server monitoring

2. Model Training：including Tokenizer Model Training, LLM model Pretraining, fine-tuning (lora, sft), reinforcement learning(RLHF), Model Distillation, Embedding/Rerank Model Trainning; Model Performance and accuracy testing; Model performance optimization

3. AI Agent Development：including AI agent development, including model orchestration, Text recall(Embedding, Recall ,rearrangement), prompt word engineering, LLM interface calling, pipeline(Text parsing, data chunk segmentation, text generation, Text Summary, graphic generation, graphic combination) development, interface encapsulation(fast api,flask), and traffic control; Agent deployment(Docker/K8s)；Agent Accuracy evaluate; Agent continuous optimization

1. Backend: Proficient in Python, VBA, SQL, Shell; Familiar with Java, Scala, C++

2. Front-end: Proficient in HTML + CSS + JS , Familiar with TypeScript,Next.js, Front end frame(React,Servlet)

3. DevOps: Proficient in CI/CD processes(Code Commit,CI/CD Workflow Orchestration,Automated Testing,Application Deployment)

4. Service Deployment: Proficient in Linux systems, Docker, and Kubernetes (k8s) ; shell development

5. UI/UX Design: Familiar with prototype design and able to use figma to design prototype diagrams

1. Big-data: Possess PB-level big data processing experience; Proficient in frameworks such as Hadoop, Spark ,CDH, ClickHouse, DolphinScheduler, Atlas, Hive,Flink, Kafka

2. Sensitive to data: able to quickly identify potential issues and potential value of data

3. Data Annotations : Proficient in data annotation methods for various scenarios.

1. AI agent Design： Experience in Marketing agent, comprehensive assistant, intelligent customer service, product Q&A, safety regulation translation, HR assistant, travel assistant

2. Knowledge Base Construction: Experience in Document parsing, text segmentation, vector storage, graph database,Text recall(Embedding, Recall ,rearrangement)

3. NLP Tasks: Experience in common NLP tasks such as text classification, text to sql, text generation, text extraction, text summarization, sentiment analysis, and intent recognition.

4. AIGC: Experience in text generation, image generation, and voice generation, AI animations , AI short video

5. Multimodal: text-to-image,Image to video, text-to-speech, speech recognition,image recognition

1. Whole process management: Familiar with the entire project management process, from POC feasibility verification, project quotation, contract signing, project initiation, project control, to project delivery.

2. Risk Management: Advance risk warning and coordinate resources to resolve it

3. Difficults Breakthrough: Proficient in handling difficult problems and breaking down complex issues

4. Architecture Design: Proficient in overall project technical architecture design, including data flow diagrams, functional module partitioning, having one's own system design philosophy, and key technical decision-making power