Professional Overview
AI automation and agent engineer focused on practical, end-to-end workflows rather than isolated demos. Built independent systems for community moderation, data operations, recruitment, and tool-using coding agents using Python, local LLMs, APIs, Telegram, SQL, and web control interfaces. Strong emphasis on human-in-the-loop controls, deterministic safeguards, auditability, regression testing, and shipping working portfolio-grade products.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built AI agents for recruitment, moderation, and data operations.
- Designed multi-step LLM workflows with human-in-the-loop controls.
- Integrated Python, FastAPI, SQL, APIs, Telegram, n8n, and spreadsheets.
- Built audit logs, validation, rollback, monitoring, and operator interfaces.
- Tested agent behavior through regression, edge-case, and stress scenarios.
Key Achievements / KPIs
- Built 3+ end-to-end AI automation systems across different business domains.
- Developed an adaptive AI recruitment workflow with automated candidate ranking.
- Built an AI moderation agent with escalation, reporting, and community isolation
- Shipped tested web and bot applications with CI, automated tests, and live demos
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built AI agents for recruitment, moderation, and data operations.
- Designed multi-step LLM workflows with human-in-the-loop controls.
- Integrated Python, FastAPI, SQL, APIs, Telegram, n8n, and spreadsheets.
- Built audit logs, validation, rollback, monitoring, and operator interfaces.
- Tested agent behavior through regression, edge-case, and stress scenarios.
Key Achievements / KPIs
- Built 3+ end-to-end AI automation systems across different business domains.
- Developed an adaptive AI recruitment workflow with automated candidate ranking.
- Built an AI moderation agent with escalation, reporting, and community isolation
- Shipped tested web and bot applications with CI, automated tests, and live demos
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
