bagging , Scipy, Unsupervised Learning, Sql, Numpy, Pandas, Docker, FastAPI, Azure Machine Learning, Scikit-learn, Python Ecosystem, MLflow, supervised learning, Ensemble Methods, Boosting, Time-series Frameworks

Machine Learning, Kafka, Rest Api, Gcp, Docker, Pytorch, Azure, Python, Kubernetes, AWS, LangChain, LangGraph, Pub Sub, DeepSeek, Qwen, Llama, Transformers, BERT, Gemma

tokenization , Sentiment Analysis, Tensorflow, Nlp, Pytorch, Python, Deep Learning, Attention mechanisms, Q-Learning, Stable Baselines, GPT, OpenAI Gym, Policy gradients, Embeddings, Gradient clipping, BERT, Markov Decision Processes, Dropout, T5, reinforcement learning, TPU computation, Named entity recognition, Sequence-to-sequence models, Learning rate schedules, Distributed training, Regularization, Transformer architectures

snowflake , Github, Machine Learning, Deep Learning, Tensorflow, Pytorch, MLops, Spark, Gitlab, Azure, Python, AWS, LLMOps, Ai, Agentic AI, Agentic Coding Frameworks

Elk, Prometheus, Grafana, Datadog, Tensorflow, Pytorch, Docker, Terraform, Openshift, Python, Java, Cloudformation, Scala, Sql, Azure ML, Hive, Cloudwatch, Spark, Keras, Kubernetes, scikit-learn, GCP Vertex AI, AWS Sagemaker, GKE, AKS, EKS

Pyspark, Debugging, Databricks, Python, Sql, Azure DevOps, Data Analysis

classification systems , Machine Learning, Apis, Python, embeddings, document intelligence solutions, Transformers, retrieval-augmented generation, real-time inference services, AI systems, small language models, batch processing pipelines, model-serving workflows, large language models

Natural Language Processing, Tensorflow, Computer Vision, Pytorch, XGBoost, Python, scikit-learn, tabular machine learning, LightGBM, time-series forecasting, recommendation systems, ranking systems