Machine Learning (ML), Neural Networks, Image Processing, Natural Language Processing, Production-quality AI pipelines, Deep learning techniques, Chatbot development frameworks, Generative AI models

graph databases , C#, Machine Learning, Neo4j, Python, Java, GenAI, Hugging Face, GLM, ASTs, Arango DB, LangGraph, Qwen, Agentic frameworks, RAG architectures, LangChain, LLMs, Ai, LSP, vLLM, AutoGen, Ollama, DeepSeek, Llama, Tree-sitter, OpenAI

Machine Learning Algorithms, Python Programming, Prompt engineering, Data pipelines, Feature engineering

Apache Spark, Sql, Tensorflow, Pytorch, Databricks, Python, Machine Learning Algorithms, model versioning, deep learning frameworks, Lakehouse architectures, cloud platforms, vector databases, embedding models, MLflow, Monitoring, MLOps practices, Statistical Modeling, semantic search architectures, drift detection, CI CD for ML, automated retraining