Apis, Sql, Automation Tools, Data Governance, auditability, Data Analysis, lineage, data platforms, domain data ownership, provenance, AI ML lifecycle, predictive models, semantic and data modeling, ETL ELT pipelines, LLM-based applications

AI ML, Data Analysis, product management, generative AI tools

D365, Ml, SAP, Confluence, Agile Methodologies, Jira, Oracle, Productboard, ERP platforms, Ai

data engineering , Machine Learning, MLops, Natural Language Processing, Algorithm Design, Deep Learning, Cloud Platforms, AI Ethics, Python Programming Language, Generative AI LLMs

Java, Soa, Jira, Odi, VBCS, APEX, GenAI, LLMs, Oracle technology stack, OIC, prompt engineering, ChatGPT, OAC, RAG, AI governance, Oracle BI tools

Hypothesis Testing, Machine Learning, Text Mining, Sql, Deep Learning, Python, AI observability best practices, Clustering techniques, Retrieval augmentation, Prompt instrumentation, Human-in-the-loop design, Language model fine-tuning, Vector stores, Agentic AI systems, Significance testing, Embeddings, Data pipelines, LLM architectures, Prompt chains, Structured logging

AI risk assessments, Security architecture and threat modelling, Cloud security architectures, CSPM CNAPP tools, Secrets management solutions, Vulnerability management platforms, MLOps and DevSecOps practices, Data security and privacy controls, SIEM platforms, AI ML architectures and workflows, AI security frameworks, Security Assessments, EDR XDR solutions, Threat modelling, Implementation of security controls

Quality Assurance, Statistical Analysis, Data Annotation, Data Quality Management, AI/ML Pipelines, F1 Score, Inter-Annotator Agreement

Python, Json, Microsoft Azure, OpenAI API, LangChain, AI automation