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I'm Sumneet Kaur, an AI Engineer with 5 years of experience designing and deploying intelligent automation systems, LLM-powered pipelines, and agentic workflows in production environments. I excel at building end-to-end AI solutions across backend Python development, REST API integration, and RAG architectures, delivering tooling that reduces manual work and improves operational decision-making. I thrive in collaboration across cross-functional teams in both startup and enterprise settings. I hold a Master’s in Computer Science (Data Science & AI) from the University of Sydney. In my work, I focus on practical, production-grade solutions with strong emphasis on responsible AI, observability, and scalable data platforms. I enjoy turning complex business challenges into structured data models and robust automation that enable data-informed decisions and tangible business impact.…I'm Sumneet Kaur, an AI Engineer with 5 years of experience designing and deploying intelligent automation systems, LLM-powered pipelines, and agentic workflows in production environments. I excel at building end-to-end AI solutions across backend Python development, REST API integration, and RAG architectures, delivering tooling that reduces manual work and improves operational decision-making. I thrive in collaboration across cross-functional teams in both startup and enterprise settings. I hold a Master’s in Computer Science (Data Science & AI) from the University of Sydney. In my work, I focus on practical, production-grade solutions with strong emphasis on responsible AI, observability, and scalable data platforms. I enjoy turning complex business challenges into structured data models and robust automation that enable data-informed decisions and tangible business impact.

Sumneet Kaur

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I'm Sumneet Kaur, an AI Engineer with 5 years of experience designing and deploying intelligent automation systems, LLM-powered pipelines, and agentic workflows in production environments. I excel at building end-to-end AI solutions across backend Python development, REST API integration, and RAG architectures, delivering tooling that reduces manual work and improves operational decision-making. I thrive in collaboration across cross-functional teams in both startup and enterprise settings. I hold a Master’s in Computer Science (Data Science & AI) from the University of Sydney. In my work, I focus on practical, production-grade solutions with strong emphasis on responsible AI, observability, and scalable data platforms. I enjoy turning complex business challenges into structured data models and robust automation that enable data-informed decisions and tangible business impact.…I'm Sumneet Kaur, an AI Engineer with 5 years of experience designing and deploying intelligent automation systems, LLM-powered pipelines, and agentic workflows in production environments. I excel at building end-to-end AI solutions across backend Python development, REST API integration, and RAG architectures, delivering tooling that reduces manual work and improves operational decision-making. I thrive in collaboration across cross-functional teams in both startup and enterprise settings. I hold a Master’s in Computer Science (Data Science & AI) from the University of Sydney. In my work, I focus on practical, production-grade solutions with strong emphasis on responsible AI, observability, and scalable data platforms. I enjoy turning complex business challenges into structured data models and robust automation that enable data-informed decisions and tangible business impact.

Available to hire

I’m Sumneet Kaur, an AI Engineer with 5 years of experience designing and deploying intelligent automation systems, LLM-powered pipelines, and agentic workflows in production environments. I excel at building end-to-end AI solutions across backend Python development, REST API integration, and RAG architectures, delivering tooling that reduces manual work and improves operational decision-making. I thrive in collaboration across cross-functional teams in both startup and enterprise settings. I hold a Master’s in Computer Science (Data Science & AI) from the University of Sydney.

In my work, I focus on practical, production-grade solutions with strong emphasis on responsible AI, observability, and scalable data platforms. I enjoy turning complex business challenges into structured data models and robust automation that enable data-informed decisions and tangible business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Automation Engineer at Kifaayat

February 1, 2024 - Present

Led end-to-end design and delivery of intelligent automation systems, LLM pipelines, and agentic workflows for a live production environment. Built and operationalised RAG-based agentic workflows to improve contextual accuracy and content relevance, applying responsible AI practices throughout design and deployment. Integrated generative AI tools into existing business processes to address key operational challenges and measurably improve decision-making quality. Developed backend Python systems with multi-step logic, API connectors, validation, and error handling to ensure production-grade reliability, observability, and maintainability. Architected a structured data platform with entity models and business rules to support downstream analytics and ML feature extraction.

Technology Analyst at Infosys

November 1, 2020 - December 1, 2023

Built and enhanced enterprise business applications with structured Python/SQL backends, RESTful API integrations, and relational data modeling at scale. Developed automation scripts and integration workflows that significantly reduced manual processing overhead, demonstrating software fundamentals of testability, reliability, and maintainability. Designed and optimized relational database schemas to support high-volume application performance. Configured multi-environment deployments with RBAC and controlled release processes aligned with security and compliance standards. Collaborated cross-functionally with data engineers, backend developers, and business stakeholders to gather requirements and ensure successful delivery.

Client Project at University of Sydney

November 1, 2025 - Present

Customer Behaviour Insights Platform: Developed an AI-powered analytics assistant enabling business teams to explore customer engagement patterns, churn signals, and high-value segments through natural language queries. Integrated LLM agents with a Neo4j knowledge graph and internal data sources to retrieve contextual insights about customer behaviour and engagement drivers. Deployed the solution via REST APIs and a lightweight interface to enable non-technical teams to generate campaign-ready customer insights and support data-informed product decisions.