AWS, Nltk, Natural Language Processing, Apache Spark, Tensorflow, Pandas, Pytorch, Gcp, Databricks, Azure, Langchain, scikit-learn, HuggingFace, vector databases, mlflow, gensim, OpenAI, fine-tuning LLMs

Java, Golang, Machine Learning, Devops, Webrtc, Kubernetes, Python, real-time audio, Ai, Claude, Code Cursor, Voice AI, STT, TTS, Telephony, LLM-based applications, Windsurf

Python, Data Science, Machine Learning, Deep Learning, Model evaluation and validation techniques, Time-series analysis, Data Science and ML libraries, Responsible and explainable AI concepts