As an Engineer
- LangChain, LangGraph, RAG pipelines, agent workflows
- FastAPI, REST APIs, PostgreSQL, vector databases, Neo4j
- AWS, Azure, Docker, Kubernetes, CI/CD
- Python, JavaScript, TypeScript
- n8n, Zapier, event-driven automation
Sydney, NSW - AI Engineer + Product Manager
Sumneet Kaur
I build AI products with careful problem framing, strong product instincts, and the engineering depth to make systems work in production.
A Human Way To Build AI
Curious enough to ask the careful questions, analytical enough to structure the answer, practical enough to ship it.
I sit at the intersection of AI engineering and product. I can scope the problem, architect the system, and ship it. With 4+ years across enterprise and startups, I have built LLM-powered tools, agentic workflows, and data products used by real teams. I am currently finishing my Master of Computer Science in Data Science and AI at the University of Sydney.
What I Bring
A balanced skill set for teams that need both deep implementation and clear product direction.
As a Product Manager
- Problem scoping and workflow design
- Stakeholder alignment and requirements definition
- User journey analysis and friction reduction
- Metrics-driven prioritisation
- Delivery across web, mobile, and internal tools
Impact
Outcomes across marketplace growth, AI-assisted analysis, automation, and enterprise data delivery.
Social audience scaled from zero while building marketplace traction at Kifaayat
Platform users reached through growth, acquisition, and engagement initiatives
Conversion improvement through segmentation, personalised outreach, and journey experimentation
Reduction in manual analysis time through AI-powered reporting and internal data tools
Selected Projects
AI systems and product work built around concrete user journeys, domain constraints, and delivery readiness.
SafeMed AI - Clinical Risk Detection
Architected a clinical AI system using LLM reasoning and document parsing to identify post-discharge medication risks for aged care patients. Built with GPs and physicians for real clinical workflow fit.
LLMRAGFastAPIClinical AIPDF Parsing
Tech Lead | WSTI AI Summit 2026
Open SafeMed AI
TeachSmart - AI Curriculum Intelligence
Multi-stage GenAI pipeline for Australian curriculum alignment with retrieval, ranking, evaluation layers, and human review loops. Delivered as a hosted app.
GenAILangChainAgentsEvaluationSafety
AI Lead | EduX Hackathon 2026
Open TeachSmart
Kifaayat - Marketplace AI and Product Systems
Led product execution across seller onboarding, buyer activation, listings, transactions, engagement, reporting, and internal AI/data tooling for a Sydney-based marketplace.
ProductAutomationAnalyticsMobile QASydney
AI Product & Growth Manager
Customer Behaviour Insights Platform
LLM agents, Neo4j knowledge graph, and ML models for churn prediction, behavioural segmentation, and natural-language analytics over customer data.
Neo4jLangChainREST APINLPLLM
Team Lead | University of Sydney x Exponent Venture Group
Private project - link not public
Experience
Startup product ownership, applied AI delivery, and enterprise cloud foundations.
AI Product & Growth Manager
- Scaled platform growth from 0 to 50k social audience and 15k+ users, driving marketplace traction
- Improved conversion by 23% through AI-driven segmentation, personalised outreach, and continuous experimentation across customer journeys
- Built AI-powered customer segmentation and recommendation workflows, improving targeting precision and campaign performance
- Developed automation pipelines integrating APIs and platform data, reducing manual reporting and enabling rapid test-and-learn cycles
- Prototyped an LLM-powered analytics assistant to surface churn signals, high-value segments, and engagement insights for non-technical teams
- Designed dashboards tracking real-time acquisition, engagement, and retention metrics, enabling faster optimisation decisions
- Partnered cross-functionally to translate business problems into scalable AI and automation solutions adopted by marketing and operations teams
Technology Analyst
- Delivered enterprise data and automation solutions enabling analytics-driven decision-making and operational efficiency
- Designed ETL pipelines improving data quality, availability, and reporting speed for business-critical use cases
- Built and maintained CI/CD pipelines, enabling faster deployment and iteration of data and ML systems
- Managed AWS and Azure cloud infrastructure supporting scalable, production-grade applications
- Collaborated with stakeholders to prioritise high-impact automation and analytics initiatives aligned with business outcomes
Education
Computer science, data science, AI, and engineering foundations, anchored by postgraduate study at the University of Sydney.
Master of Computer Science - Data Science & AI
University of Sydney | Feb 2024 - Dec 2025 | Distinction, WAM 76.5
Bachelor of Technology - Electronics & Communication Engineering
GGSIPU Delhi | 2016 - 2020 | CGPA 8.25/10
Publications
Early research threads across NLP, sentiment analysis, IoT, automation, and ambient computing.
Literature Review of Twitter Sentiment Analysis
Published in an international open access journal. Surveys NLP techniques for sentiment classification on social media data, including feature extraction, model architectures, and benchmark patterns across Twitter datasets.
Read paperSmart Mirror: A Hub for Ambient IoT Environments
Conference paper on AI-powered gesture-controlled home automation using ambient IoT systems, presented at an international engineering conference.
Public link unavailableOpen to AI Engineer and AI Product roles in Sydney.
Always happy to talk about LLM products, agents, Australian healthcare and education tech, marketplace workflows, and practical ways to ship useful AI.