data wrangling , production deployment , Machine Learning, Algorithms, Spark, Databricks, Python, AWS, Feature Engineering, Go, Model Training, Numerical Computing, Monitoring

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

Etl Development, Apache Spark, XGBoost, Python, Airflow, scikit-learn, data quality frameworks, cloud data platforms, drift detection, feature engineering, Databricks Workflows, model monitoring

Tensorflow, Pytorch, XGBoost, Apache Spark, CrewAI, LangGraph, LangChain, LSTMs, AWS Bedrock, RNNs, Scikit-learn

Python, Distributed computing concepts, Experiment tracking systems, Workflow orchestration frameworks, Cloud platforms, Parallel Processing, GPU-based workloads, Linux-based HPC clusters, Resource Management

Ml, BigQuery, Scala, Pyspark, Sql, Tensorflow, Nlp, Pytorch, Spark, Data Visualization, Azure, Python, AWS, cloud analytical stacks, Ai, dimension reduction, Llm, R, AI coding, AIGC, ETL pipelines

causal inference , Tensorflow, Sql, Git, Deep Learning, Python, Pytorch, Machine Learning, Spark, Operation Research

Sql, Data Mining, Deep Learning, Tensorflow, Machine Learning, Pytorch, Hive, Python, Mapreduce, Spark, Logistic Regression, Deep Neural Networks, Word2vec, Gradient Boosting Trees, Matrix Factorization, collaborative filtering, Factorization Machines, Transfer Learning, Multi-task Learning