Tensorflow, Pytorch, Python, Java, Apis, Hadoop, Scala, MLops, Spark, Cloudera, Kubernetes, vector search, model governance, RAG embeddings, scikit-learn, MLflow, CI CD, cloud AI services, responsible AI, model evaluation, observability, LLMs, Monitoring, prompt engineering, Agentic AI, drift detection

Tensorflow, Azure ML, Numpy, Pandas, Pytorch, Python, Machine Learning Algorithms, LangChain, Scikit-learn, tree-based models, MLOps practices, AWS SageMaker, regression techniques, Microsoft Copilot Studio, gradient boosting frameworks

Tensorflow, Numpy, Pandas, Pytorch, Python, Machine Learning Algorithms, Azure ML, regression techniques, Scikit-learn, AWS SageMaker, Microsoft Copilot Studio, gradient boosting frameworks, tree-based models, LangChain, MLOps practices

parameter estimation , Algorithms, Distributed Computing, Git, Predictive Modeling, data structures, Python, Cloud Computing, Bayesian optimization, surrogate modeling, anomaly detection, WaferPro, software engineering principles, IC-CAP, CI CD pipelines, MBP, SPICE modeling, MQA, AI ML-driven solutions

graph databases , Machine Learning, Node.js, Deep Learning, Pytorch, MLops, Docker, Opencv, Flask, FastAPI, Python, scikit-learn, LLMs, RAG retrieval

scalable systems , Apis, Distributed Systems, Python, Testing, Cloud-native architectures, AI/ML application deployment, CI/CD pipelines, AWS cloud services, Backend application development, Software engineering best practices

parameter estimation , Algorithms, Distributed Computing, Rust, Git, Predictive Modeling, data structures, Python, Cloud Computing, Bayesian optimization, anomaly detection, surrogate modeling, WaferPro, object-oriented software development, software engineering principles, scalable ML infrastructure, IC-CAP, CI CD pipelines, AI ML technologies, SPICE modeling, MBP, MQA

Pyspark, Api Development, Azure Synapse Analytics, Azure Machine Learning, Financial Services, Ai, AI Governance, AutoGen, Cloud Native Architecture, AI Evaluation, Ethical Conduct and Professional Integrity, Fine Tuning, Conversational AI, Azure AI, Liaising with cross functional teams, Azure AI Search

Apis, Distributed Systems, Python, Cloud-native architectures, AWS cloud services, Backend application development, CI CD pipelines, AI ML application deployment, Software engineering best practices