Bachelor's in Electronics & Communication
GGSIIPU Delhi. Completed in 2020.
Sydney, NSW - AI Engineer & AI Product Manager
Sumneet Kaur
I find the problems worth automating — then build and ship the AI systems that solve them.
3 years of cloud and DevOps engineering at Infosys, then 2.5 years building and operationalising production agentic AI and LLM systems at startups — as both engineer and product owner. I work across the full arc: finding the processes worth automating with stakeholders, designing multi-agent orchestration, RAG, and evaluation, and shipping to production with measured results — manual review down 60%, listing friction down 43%, 7 automation systems live.
Multi-Agent Orchestration
RAG & Evaluation
MCP Servers
AI Product Management
Workflow Automation
Cloud & DevOps
The journey so far
A quick thread from electronics engineering to enterprise systems, Sydney, and shipping production agentic AI as both engineer and product owner.
Technology Analyst, Infosys
Platform engineering and DevOps for enterprise banking and pharma clients.
Moved to Sydney
Started Master of Computer Science at the University of Sydney.
Kifaayat
AI Engineer / AI Product Manager. Shipped 7 production agentic automation systems over live marketplace data.
Graduated
Master of Computer Science, Data Science & AI, University of Sydney. Distinction, WAM 76.5.
AI Engineer, Rumblings
LLM pipelines turning real-time cultural and market signals into recommendations for brand and marketing teams.
Experience
Production agentic AI and product ownership at startups, layered on enterprise engineering foundations.
AI Engineer
- LLM Build LLM pipelines that turn real-time cultural and market signals into structured, tailored recommendations for brand and marketing teams.
- Quality Own prompt design, structured output schemas, and evaluation of recommendation quality, iterating against real user feedback.
- Product Work directly with the Chief of AI and founding team, turning loosely defined product requirements into shipped features.
Real-timeCultural and market signals turned into structured recommendations
0 → 1Loosely defined requirements shaped into shipped features
EvalsRecommendation quality owned end to end
FoundingWorking directly with the Chief of AI and founding team
AI Engineer / AI Product Manager
- Product Assessed workflows across the order and listing lifecycle to identify where automation and agentic AI would deliver measurable benefit, then shipped 7 production automation systems.
- Agents Designed multi-agent LangGraph workflows — agent roles, task routing, and conditional escalation logic — over live marketplace data, with an MCP server standardising LLM access to backend data.
- RAG Built RAG systems over marketplace and seller content using pgvector, with confidence gating, citations, and guardrails routing ambiguous cases to human review.
- Delivery Established evaluation and observability across factuality, hallucination detection, and task completion; reported outcomes to product and business stakeholders through Power BI over BigQuery.
7Automation systems shipped to production
60%Manual review cut through guardrails and human-in-the-loop routing
43%Listing friction reduced across the marketplace lifecycle
MCPServer standardising how LLMs queried live backend data
Technology Analyst, Platform Engineering & DevOps
- DevOps Built and maintained CI/CD pipelines across Azure and AWS, with containerised Docker and Kubernetes workloads deployed across dev, UAT, and production for enterprise banking and pharma clients.
- Data Delivered ETL pipelines and REST API integrations with emphasis on reliability, monitoring, and compliance in regulated environments.
- Liaison Acted as technical liaison between engineering teams and clients, resolving production escalations across APIs, authentication, and cross-system data issues.
3 yrsEnterprise cloud and DevOps delivery
RegulatedBanking and pharma client environments
CI/CDPipelines and containerised delivery on Azure and AWS
2 awardsInfosys Insta Award and RISE Team Award
Selected Work Gallery
A case wall of agentic pipelines, retrieval systems, evaluation tooling, and automation products. Pick a card to open the episode notes.
Education
Postgraduate computer science study focused on data science and AI.
Master of Computer Science - Data Science & AI
University of Sydney | Graduated December 2025 | Distinction, WAM 76.5
Let’s build AI products that ship.
Open to AI engineering and AI product management roles. Always happy to talk about multi-agent systems, RAG and evaluation, workflow automation, and turning process pain points into measurable AI products.