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I am an AI Automation Engineer with a Master of Data Science from UNSW, specializing in production-grade data pipelines, LLM-powered analysis layers, and multi-system integrations. I’ve built end-to-end automation solutions that replace manual workflows and surface real-time insights, using n8n, REST APIs, Python, and agentic AI to deliver practical business outcomes. I thrive in fast-paced contract-style delivery, create clear documentation, and hand over systems to non-technical teams so they can operate autonomously. I’m available immediately and can deliver high-quality results within a 4–6 week timeline. I enjoy turning complex data into actionable dashboards and concise briefs that help stakeholders make informed decisions.…I am an AI Automation Engineer with a Master of Data Science from UNSW, specializing in production-grade data pipelines, LLM-powered analysis layers, and multi-system integrations. I’ve built end-to-end automation solutions that replace manual workflows and surface real-time insights, using n8n, REST APIs, Python, and agentic AI to deliver practical business outcomes. I thrive in fast-paced contract-style delivery, create clear documentation, and hand over systems to non-technical teams so they can operate autonomously. I’m available immediately and can deliver high-quality results within a 4–6 week timeline. I enjoy turning complex data into actionable dashboards and concise briefs that help stakeholders make informed decisions.

Chaitanya Abburuai

Data Scientist, AI Engineer, Data Analyst, +2

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I am an AI Automation Engineer with a Master of Data Science from UNSW, specializing in production-grade data pipelines, LLM-powered analysis layers, and multi-system integrations. I’ve built end-to-end automation solutions that replace manual workflows and surface real-time insights, using n8n, REST APIs, Python, and agentic AI to deliver practical business outcomes. I thrive in fast-paced contract-style delivery, create clear documentation, and hand over systems to non-technical teams so they can operate autonomously. I’m available immediately and can deliver high-quality results within a 4–6 week timeline. I enjoy turning complex data into actionable dashboards and concise briefs that help stakeholders make informed decisions.…I am an AI Automation Engineer with a Master of Data Science from UNSW, specializing in production-grade data pipelines, LLM-powered analysis layers, and multi-system integrations. I’ve built end-to-end automation solutions that replace manual workflows and surface real-time insights, using n8n, REST APIs, Python, and agentic AI to deliver practical business outcomes. I thrive in fast-paced contract-style delivery, create clear documentation, and hand over systems to non-technical teams so they can operate autonomously. I’m available immediately and can deliver high-quality results within a 4–6 week timeline. I enjoy turning complex data into actionable dashboards and concise briefs that help stakeholders make informed decisions.

Available to hire

I am an AI Automation Engineer with a Master of Data Science from UNSW, specializing in production-grade data pipelines, LLM-powered analysis layers, and multi-system integrations. I’ve built end-to-end automation solutions that replace manual workflows and surface real-time insights, using n8n, REST APIs, Python, and agentic AI to deliver practical business outcomes. I thrive in fast-paced contract-style delivery, create clear documentation, and hand over systems to non-technical teams so they can operate autonomously.

I’m available immediately and can deliver high-quality results within a 4–6 week timeline. I enjoy turning complex data into actionable dashboards and concise briefs that help stakeholders make informed decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data and AI Engineer at Innovatedge

October 1, 2025 - Present

Designed and deployed an end-to-end automated data pipeline on n8n to ingest, cleanse, and enrich CRM data from multiple sources via REST APIs — aggregating information across systems into a unified, analytics-ready dataset. Built an AI-powered analysis layer using LLM APIs (Claude) to process and summarise client data, identify patterns, flag anomalies, and surface actionable insights for business stakeholders in daily operational briefings. Implemented exception alerting workflows that monitored key business metrics in real time, automatically notifying the team via Slack when anomalies or threshold breaches were detected. Developed a client scoring and risk-flagging system that analysed behavioural data at scale, prioritising high-value and high-risk accounts for immediate attention — improving pipeline performance by 25%. Produced clear process documentation and trained non-technical team members to manage and operate automated systems independently after handover.

Full Stack Intern at Deem (an Enterprise Holdings Company)

June 1, 2022 - July 1, 2022

Integrated Oracle databases with a real-time operational reporting dashboard, enabling administrators to monitor live business metrics without manual data extraction — reducing query reliance by 30%. Developed UI components for a dynamic data management system, improving data validation and ensuring consistency of operational records across the platform.