I am an AI and automation engineer focused on building production-ready agentic systems, LLM integrations, and workflow automations. I work primarily with Python and n8n to turn ambiguous operational problems into reliable end-to-end products.
I have independently architected and shipped AI platforms across healthcare, home services, e-commerce, and career technology. My work combines LLMs such as GPT-4o, Gemini, and Claude with retrieval-augmented generation, voice AI, databases, and third-party APIs.
I build autonomous workflows that integrate services such as Google Maps, Google Calendar, Slack, Gmail, and Google Sheets. I am experienced in designing modular pipelines for scheduling, support, routing, lead capture, and operational automation.
I have deployed systems using Docker and Google Cloud Run and have worked with FastAPI, PostgreSQL, Supabase, Firebase, React, and TypeScript. I prioritize robust validation, testing, security, and practical system behavior over demo-only implementations.
My machine learning work includes scalable text classification, content scoring, resume screening, and AI-versus-human text detection. I am comfortable evaluating model baselines, working under resource constraints, and selecting approaches that fit real performance and infrastructure limits.
I have earned Silver Tier recognition for two projects at Google's AI Seekho Hackathon 2026 and hold Microsoft Azure AI certifications. I continue to deepen my expertise in AI agents, automation architecture, backend AI engineering, and secure production systems.
