Front End Development, Google Cloud Platform, Tensorflow, Pytorch, Debugging, Python, fine-tuning, Data Processing, machine learning frameworks, model deployment, optimizing ML infrastructure, Hugging Face, Evaluation, generative AI models, ML design, cloud computing platforms

Rust, Prometheus, CDK, Grafana, Pulumi, Cuda, Gcp, Pytorch, Terraform, Azure, Python, Kubernetes, AWS, DeepSpeed, Transformer internals, GPU infrastructure, Hugging Face, Go, vLLM, Cloud infrastructure engineering, OpenTelemetry, FSDP

containerization , Pytorch, Pulumi, Grafana, Rust, Terraform, CDK, Cuda, Prometheus, Kubernetes, Python, vLLM, Fine-tuning, Hugging Face, OpenTelemetry, GPU infrastructure, DeepSpeed, LoRA, FSDP, Cloud infrastructure engineering, Go, ORPO, DPO, QLoRA, Transformer internals

Sql, Predictive Modelling, Python, Pandas, Nlp, Numpy, Machine Learning, Data Analysis, scikit-learn, Forecasting, recommendation systems

Cloud Infrastructure, Machine Learning, AI-based products, Open-source codebases, Fine Tuning LLMs, GenAI applications

Spark SQL, Hadoop Ecosystem, Pyspark, Data Modeling, Sql, Gcp, Azure, Python, AWS, Data Lakes, ETL ELT frameworks, DevOps practices, Lakehouse architectures, CI CD, Performance tuning and optimisation, Data migration strategies, Distributed data processing frameworks, Data integration patterns, Real-time processing

Cloudformation, Spring Boot, Spring MVC, Sql, Angular, Microservices, Nosql, Jenkins, React, Docker, Terraform, AWS, AI-Assisted Development, Caching, Java 8 and latest version, GitHub Copilot, GitHub Actions, Observability tools, messaging systems, Automated test frameworks, Event-driven architectures

Java, Typescript, Reactjs, Node.js, NeXT

snowflake , Machine Learning, Sklearn, Greenplum, Netezza, Pandas, Pytorch, Gcp, MLops, Spark, Microsoft Azure, Python, AWS, LangChain, Airflow, Generative AI, Feature Store, Teradata, Model Explainability, Model Deployment, E data, dbt, Observability