Algorithms, Debugging, Data structures, Python, ML infrastructure, Model deployment, reinforcement learning, Data Processing, Optimization, Model evaluation

Matplotlib, Hadoop, Power Bi, data mining, Big Data Technologies, Tableau, Google Cloud, Spark, Azure, Python, AWS, Machine Learning Algorithms, data visualization tools, R, MLOps practices, Statistical Modeling, cloud-based data platforms, feature engineering

containerization , Apis, Microservices, Terraform, Helm, AI Agents Workflow Integration, RAG workflows, Context engineering, Agents orchestration, Monitoring and debugging, Open-source models, Cloud-native systems, Infrastructure as code, CI/CD, Serverless, Agentic solutions

Apache Spark, Sql, Tensorflow, Pytorch, Databricks, Python, Machine Learning Algorithms, model versioning, deep learning frameworks, Lakehouse architectures, cloud platforms, MLflow, Monitoring, MLOps practices, Statistical Modeling, drift detection, CI CD for ML, automated retraining

data engineering , Amazon Web Services, Application Programming Interfaces, Logging, Tensorflow, Pytorch, Debugging, Python, Java, Version Control, Data Quality, Data Governance, streaming processing, machine learning frameworks, idempotent processing, schema changes, generative artificial intelligence, data workflows, Batch Processing, Production Support, build pipelines, container basics, cloud fundamentals, backfills

error analysis , Machine Learning, Natural Language Processing, Deep Learning, Numpy, Pandas, Pytorch, Python, Statistical Sampling, Hugging Face Transformers, PDF parsing frameworks, model evaluation metrics, TesserAct, Scikit-Learn, LayoutLM, PaddleOCR, document OCR processing tools

Unix, Python, Lsf, Bitbucket, Static timing analysis, AI ML, Jenkins, Git, Linux, Splunk, GenAI, cdc, design layout constraints, Design Verification, CI CD process, DesignSync, UPF, SDC, Dft, RDC, EDA Tools, Graph Neural Networks, Implementation, make, reinforcement learning, debug tools, convolutional Networks, Power-aware flows, Clocks, SW development

Google Cloud Platform (GCP), Kubernetes (GKE), Java, Springboot, Docker, Restful Apis, Sql, Microservices, Data Modeling, Automated Testing, Distributed Systems, Query Optimization, Logging, Alerting, NoSQL databases, Git-based version control, Cloud-native application design, AI Agents for software development, CI/CD pipelines, Monitoring