bedrock , ELT, Lambda, Pytorch, Docker, Python, AWS, MLops, ECS, Spark, Kubernetes, Etl, Langchain, LLM application development, Pinecone, Flink, CI CD, OpenSearch, GitHub Actions, Hugging Face ecosystem, PGVector, EKS, prompt engineering, SageMaker, GitLab CI, Langgraph, RAG

Tensorflow, Nlp, Pytorch, Flask, Rest Apis, Python, Computer Vision, scikit-learn, Pipelines, time-series models, Model Monitor, Amazon SageMaker Studio, Feature engineering, Endpoints, model evaluation, data pipelines on AWS, inference services using FastAPI, hyperparameter tuning

Machine Learning, Hadoop, Apache Spark, Dynamodb, Kafka, Deep Learning, Tensorflow, Pytorch, Presto, Keras, Python, AWS, ML Ops

Java, Machine Learning, Docker, Python, Kubernetes, AWS, NoSQL databases, Streaming technologies

Open Cv, Tensorflow, Pytorch, MLops, Python, AWS, Langchain, edge computing, HuggingFace, Go, vector databases, RAG based applications, LLM architectures

Machine Learning, Cuda, Tensorflow, Pytorch, Python, Gradient-based optimisation, Mixed-precision inference, Probabilistic inference, Knowledge distillation, GPU-accelerated computing, Weight pruning, Loss surface geometry, Mathematical frameworks, Quantisation, Regularisation theory, Edge AI deployment

containerization , Docker, System Design, Python, Asynchronous processing, Generative AI, Event-driven systems, Cloud platforms, Multi-step AI pipelines, Scalable architectures, distributed architectures, Orchestration frameworks, LLM-based applications, Agentic workflows, Model deployment strategies

Gcp, Docker, Azure, Kubernetes, Python, AWS, Airflow, TFX, MLflow

Machine Learning, Kafka, Sql, Gcp, Docker, Spark, Kubernetes, Python, AWS, Llm, RAG, Generative AI models

Google Cloud Platform, Apache Spark, Tensorflow, Hive, Pytorch, MLops, Docker, Databricks, Keras, Azure, Python, Kubernetes, AWS, Airflow, R