Tensorflow, Numpy, Machine Learning, Pandas, Pytorch, Python, Scikit-learn

Machine Learning

data wrangling , production deployment , model selection , Machine Learning, Numerical computing, Online vs offline pipelines, Model training, Monitoring, Feature engineering

Pytorch, Spark, Python, ASR, fine-tuning, Ray, speech machine learning, Llm, Evaluation, SpeechLLM model training, distributed data processing, large-scale data engineering

Nlp, Machine Learning, Algorithms, Coding, Data Structure, ranking, Search Engine, Recommendation systems

algorithm optimization , Nlp, Coding Skills, LLMs, Data Processing, relationship extraction, information extraction, ML engineering, NER

retrieval-augmented generation (RAG), Orchestration, Nlp, LangChain, modeling infrastructure, fine-tuning serving frameworks, GenAI ecosystems, vector DBs, Anthropic, OpenAI, LlamaIndex, Mistral OSS, embeddings, agentic workflows, Search, LLMs, hybrid retrieval

Tensorflow, Machine Learning, C++, Pytorch, Python, Algorithm R&D, Ad analysis, Multimodal fusion, Content understanding, Inference deployment, Large model training, Multimodal representation learning, Intelligent review, Fine-tuning