Machine Learning, Pyspark, Dynamodb, Apache Spark, Sql, Redis, Git, Docker, Terraform, AWS ECS, Apache Kafka, Flask, Databricks, FastAPI, Python, AWS

Tensorflow, Numpy, Pytorch, Python, AWS, Scipy, Sql, React, Pandas, Gcp, Keras, Rest Apis, Azure, RNNs, Deep Learning architectures, CNNs, LLM APIs, Chain-of-Thought, distributed data processing frameworks, open-weight open-source models, classical ML algorithms, hybrid search techniques, Few-shot prompting, Vector Stores, Transformers, Advanced Prompt Engineering techniques

Python

BigQuery, Machine Learning, Natural Language Processing, Deep Learning, Tensorflow, MLops, Docker, XGBoost, Flask, Keras, Python, Scikit-learn, GCP Vertex AI, Gemini, CatBoost

Apis, Tensorflow, Pytorch, Python, data preprocessing, scikit-learn, model training, fairness, model deployment, bias detection, reliability in AI systems, feature engineering, cloud ML platforms, containerized environments, evaluation metrics

Java, Unit Testing, Python, code tuning, core AI ML techniques and algorithms, Profiling, time and space-efficient algorithms, OOP Design Patterns

Tensorflow, Pytorch, Docker, Apache Spark, Kubernetes, Python, AWS SageMaker, Scikit-learn, MLflow

Java, Devops, Jenkins, Git, Gcp, MLops, Containers, Azure, Python, Kubernetes, AWS, Generative AI, event-driven services, agentic AI systems, ArgoCD

Git, Pytorch, Linux, Python, Cuda, NVIDIA, AMD, Intel

Machine Learning, Teamcity, Python Programming, GenAI, Agentic AI, CodeDeploy