Google Cloud Platform, Jfrog Artifactory, Docker, Databricks, Kubernetes, Python, Api Gateway, DevOps practices, LLM concepts, AlloyDB, CloudRun

snowflake , MLops, Databricks, Python, Kubernetes, LangChain, GenAI, ML Engineering, Search retrieval and ranking systems, Data Lakes, Deep learning models, LLMs, LLMOps, Applied AI, MLflow, AKS, Experimentation and evaluation methodologies, LangGraph, Production-grade ML systems, Reinforcement learning bandits, NLP embeddings, Multi-stage ranking systems

Restful Services, Computer Vision, Deep Learning, Machine Learning, MySQL, Python, Kubernetes, Docker, Apis, MongoDB, Spark, Azure DevOps, Azure machine learning service, Optimization, Amazon Sagemaker, Generative AI, Google Cloud AI

AI ML, Python, Llm, RAG, Gen AI, AI Engineer

PowerShell, Shell Scripting, Gcp, Terraform, Azure, Kubernetes, Python, AWS, Azure DevOps, Tekton, AI-Assisted Code Security, Infrastructure-as-Code Security, Software Supply Chain Security, GitHub Enterprise, GitHub Actions, Container Security, Secrets Detection

Java, Golang, Apis, Microservices, Distributed Systems, Testing Frameworks, Kubernetes, Python, LLMs, Cloud platforms, Scalable backend services, Agentic AI systems, Developer tooling, Event-driven architectures

Pytorch, Docker, Ffmpeg, Opencv, FastAPI, Python, GPU inference, Failure Analysis, model training, evaluation protocols

Matplotlib, BigQuery, Pyspark, Redshift, Automation, Sql, Numpy, Pandas, Flask, Databricks, FastAPI, Python, Cloud-native development, GenAI applications, Data Analysis, MLOps principles

Advanced Python development

Tensorflow, Spark, Kafka, Machine Learning, MLops, Deep Learning, Pytorch, Kubernetes, Python, XGBoost, Docker, Nlp, scikit-learn, ONNX, Airflow, MLflow, AI model optimization, anomaly detection, time series forecasting, Cv, Recommendation systems, TensorFlow Serving