AI-Enabled Support
Using AI to make technical support faster and more useful through ticket intelligence, conversation summaries, knowledge retrieval, and guided troubleshooting.
Expertise · 06
Applied AI and automation built around real-world technical problems.
My focus is not AI for show. It is about using AI, APIs, tools, and workflows to make support, troubleshooting, customer experience, and operational work more useful and more efficient.
Applied AI focus
Connect intelligence to useful work.
The strongest AI solutions are grounded in real context, connected to useful tools, and designed around clear human outcomes rather than generic automation.
RAG & Knowledge Retrieval
Exploring Retrieval-Augmented Generation to connect AI models with trusted technical documentation, tickets, logs, and internal knowledge sources.
MCP & Tool Connectivity
Understanding how Model Context Protocol can help AI systems interact with APIs, services, workflows, tools, and enterprise data sources.
Agentic AI Workflows
Exploring AI agents that can reason through tasks, use connected tools, gather context, and support structured workflow automation.
Multimodal AI
Working with AI capabilities that can understand and combine text, files, screenshots, images, transcripts, and structured information.
API-Driven Automation
Connecting AI models with APIs, tools, and services to automate useful end-to-end workflows instead of producing isolated responses.
How I approach AI projects
Start with a useful workflow, then bring in the right intelligence.
Practical AI works best when it has access to the right context, supports a clear decision or action, and fits naturally into the workflow of the people using it.
1
Identify a real support, customer, or operational problem
2
Collect the right context from documents, APIs, tickets, logs, or conversations
3
Use AI to summarize, classify, retrieve, reason, or recommend
4
Connect the output to a useful workflow, tool, or user interface
5
Keep human review and clear confidence checks where needed
Current applied AI work
Ideas moving from concept to useful prototypes.
SupportBuddy
An AI Ticketing Intelligence concept that brings together fragmented customer interactions across voice, email, and chat to provide useful context to support agents.
Explore project →Log Parser
A practical troubleshooting concept focused on helping engineers interpret technical logs and identify useful signals faster.
Explore project →