data warehouses , Java, Machine Learning, Information Retrieval, data mining, Big Data, ELT, Nosql, Tensorflow, Javascript, MongoDB, Python, Etl, reporting analytic tools, Go, SparkML, data lakes, distributed data platforms

React, System Design, Javascript, Python, Sql, Full-stack engineering principles

Kubernetes, Bash Scripting, Terraform, Docker, Git, Linux, Networking fundamentals

Azure, Sql, S3, ELT, Pandas, AWS, Etl, Python, Gcp, Spark, Ray, DuckDB, Polars

DAST, Git, Typescript, Javascript, Containers, Python, OpenID Connect, software composition analysis, Go, automated test suites, OAuth 2.0, role-based access control, SAST, infrastructure as code

.NET, Git, T-sql, Celery, Jira, Python, Github, C#, Csv, PostgreSQL, Microsoft Sql Server, Cursor, Oracle Pl Sql, Docker, Sftp, Azure cloud services, Excel, RQ, Airflow, Claude Code, Copilot, Prefect, Dagster, CI CD pipelines, Windsurf

Pytorch, Python, PEFT, SFT, DPO, full fine-tuning, evaluation workflows, training environments, annotation systems, data-processing pipelines, data-quality frameworks, reinforcement learning, ppo, large-scale data training, reward modeling, LoRA, evaluation frameworks, post-training fine-tuning, preference optimization, benchmarks, LLM agent benchmarks, RLHF

Sql, Json, Rest Apis, Azure Functions, Arm, Python, Xml, Terraform, Api Management, Git, Azure Integration Services, OAuth 2.0, Application Insights, OpenAPI, Event Grid, Azure Monitor, Bicep, Log Analytics, Azure Service Bus, Logic Apps

Scipy, Java, Hadoop, Tensorflow, Numpy, Python, scikit-learn, MxNet, neural deep learning methods, R, Spark MLLib, machine learning models