Tensorflow, Machine Learning, Pytorch, Opencv, Ocr, Python, Computer Vision, Deep Learning, GenAI, LLMs, PIL

Unix, Orchestration, Hadoop, Pyspark, Docker, Oozie, Python, Evaluation, Airflow, K8S, Feature Store, ML lifecycle tools, Spark-ml, MLflow, Big Data modeling, ML Models Lifecycle Frameworks, Distributed processing, Dagster, Lake Warehouse architectures, model monitoring

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

Databases, Java, Apis, Kafka, Hana, Distributed Systems, Postgres, Python, Go, GRPC, CI CD pipelines, AI ML frameworks

data engineering , Machine Learning, Sql, Deep Learning, Tensorflow, MLops, Pytorch, Data Analytics, Python, Computer Vision, GenAI, CNNs, Transformer-based architectures

MLops, Docker, Pyspark, Databricks, Azure Machine Learning, GitHub Actions

Python, Evaluation Methodology, Data Pipelines

amazon dynamodb , Machine Learning, AWS Glue, Aws Elastic Beanstalk, Python, Matplotlib, Aws Lambda, Numpy, Pandas, Amazon Redshift, Kubernetes, Amazon Elastic Container Service, AWS Bedrock, Amazon API Gateway, MCP’s Model Context Protocol, Amazon Managed Streaming for Apache Kafka, Agentic frameworks, LLM Gen AI models, OpenAI Framework, Boosting algorithms, Amazon Elastic Container Registry, Amazon SageMaker Studio, RAG pipeline, GenAI Model Providers, Prompt Engineering

Tensorflow, Machine Learning, Jax, Pytorch, Data Visualization, Statistical Analysis, Sql, Feature Engineering, Data Analysis, Scikit-Learn, Experimental Design