Shell, Backup And Recovery, PostgreSQL, Performance Tuning, Ansible, Itil Processes, PG 12, REPMGR, Point in Time Recovery, PG 13, PG 14, Cloud-based database solutions, PG 15, Disaster Recovery, WAL archiving, Data Wrapper, Monitoring performance analysis, PGBACKREST

Scipy, Cassandra, Pyspark, Apache Spark, Kafka, Sql, Apache Nifi, Pandas, Gcp, Numpy, Docker, Matplotlib, Elasticsearch, Microsoft Azure, MongoDB, Python, Kubernetes, AWS, Airflow, scikit-learn

Pytorch, Python, ML DL stack, Experimental Design, Hugging Face, evaluation and benchmarking of ML systems, inference cost performance and optimisation techniques, Large Language Models

Java J2ee, Kafka, Grafana, Sql, Dynatrace, Splunk, application debugging, Azure Integration Services, Google Apigee, Java performance tuning, PagerDuty, SRE practices, Oracle databases

Servicenow, Yaml, Maven, Datadog, Neoload, Tosca, Terraform, Docker, Sonarqube, Team Foundation Server, Selenium, Python, AWS, Bash, Jira, New Relic, Jenkins, Gcp, DevSecOps, Gradle, Subversion, GitHub Actions, GitHub Enterprise, CodeQL, GitHub Advanced Security, Terraform Cloud, Checkmarx

Machine Learning, Deep Learning, Nlp, MLops, Python, Computer Vision, Generative AI, LLMs, LLMOps, Optimization, RAG AI Agents, cloud AI platforms, modern AI frameworks, scalable AI architectures

graph databases , Machine Learning, Tensorflow, Pytorch, XGBoost, Python, Vector databases, LightGBM, Scikit-learn, Document stores, Columnar databases, LangGraph, Relational Databases, Microsoft Agent Framework

Unix, Python, Lsf, Bitbucket, Static timing analysis, AI ML, Jenkins, Git, Linux, Splunk, GenAI, CI CD process, DesignSync, Dft, EDA Tools, ASIC Design, Convolutional Networks, Graph Neural Networks, VLSI CAD, make, reinforcement learning, Design revision control, Design Verification, Power-aware flows

Sql, Nosql, Docker, Smo, Python Programming, Kubernetes, Etl, CrewAI, LangChain, ETSI MANO, LLMs, ONAP, TMF Open APIs, 3GPP SA5, AutoGen, RAG Retrieval-Augmented Generation, CI CD pipelines, O-RAN Alliance, AI ML Agentic Frameworks, OSS RAN orchestration

Postman for API testing and validation, CI CD pipelines using Jenkins GitHub Actions or similar, UI automation using Playwright, AI evaluation techniques and automated output validation, API automation using REST Assured Java or Python Requests, Git and version control best practices, Testing AI ML or Generative AI applications