AI Automation Engineer × Agentic AI Builder
I design intelligent automation workflows and
autonomous AI systems that streamline business processes.
I'm an AI Automation Engineer who specializes in building intelligent, end-to-end automation systems that replace manual, repetitive processes with smart, autonomous workflows.
My work sits at the intersection of AI engineering, workflow automation, and agentic system design. I architect solutions using LLMs, API integrations, and orchestration frameworks to build agents that can plan, reason, and act — not just respond.
Whether it's automating lead pipelines, deploying autonomous customer support agents, or designing complex multi-step business workflows, I focus on creating systems that are robust, scalable, and genuinely intelligent.
End-to-end AI-driven pipelines that replace human-intensive tasks with intelligent, self-running processes.
Autonomous AI agents that reason, plan, use tools, and complete complex multi-step tasks independently.
Low-code and custom automation flows using n8n, Make, Zapier, and custom orchestration layers.
Core language for building AI tools, automation scripts, APIs, and data pipelines with modern frameworks.
REST/GraphQL API design, third-party integrations, webhooks, and seamless service connectivity.
Transforming raw data into actionable insights using Pandas, visualization libraries, and statistical methods.
Database design, complex queries, optimization, and integration with automation pipelines and AI workflows.
An end-to-end automated Lead Management System designed to capture leads, instantly acknowledge them, qualify their intent, store structured data, notify the owner, and run automated follow-ups. — all without human intervention.
A multi-agent system combining a triage agent, knowledge retrieval agent, and escalation agent. Handles 80% of support queries autonomously with memory, tool use, and seamless human handoff when needed.
This system takes a startup idea submission and turns it into a structured evaluation in minutes. The goal is to give founders fast, useful feedback, and help incubators or consultants screen ideas consistently, without doing manual reviews for every entry.
An automated sales reporting system that cleans raw data, calculates key KPIs, identifies top products and regions, and generates an AI-powered insight summary. Reports are sent only after approval, with error notifications if needed. streamlining weekly or monthly sales reporting and business performance tracking.
Every intelligent system I build follows a structured, repeatable methodology that ensures reliability, scalability, and real business impact.
Data enters the system from any source — form submissions, emails, webhooks, database changes, scheduled jobs, or API calls. The workflow activates intelligently based on predefined triggers and conditions.
The AI layer analyzes, classifies, and extracts meaning from incoming data. LLMs interpret context, agents consult knowledge bases, and models generate structured outputs that drive the next phase of the workflow.
Based on AI output and business rules, the system makes intelligent routing decisions. Conditions are evaluated, priority is assessed, and the workflow branches to the correct execution path — all autonomously.
Automated actions execute across connected systems — CRMs update, emails send, Slack notifications fire, databases record, and dashboards refresh. The loop closes with logging, monitoring, and continuous improvement.
Have an automation challenge? Building an AI agent? Looking for a collaborator who can turn complex business processes into intelligent systems? Let's talk.