Architecting Production-Ready Agentic Workflows & Scalable AI Backends. I specialize in transforming manual operational bottlenecks into autonomous, stateful systems using Python, LangGraph, and FastAPI.
Who I Am: I am an AI Engineer and Automation Architect specializing in the design of production-grade agentic systems. I bridge the gap between raw LLM capabilities and scalable, secure business infrastructure.
What I Do: I architect end-to-end AI applications that automate complex operational workflows. My work focuses on building stateful multi-agent systems, secure RAG pipelines, and robust backends that transform unstructured data into actionable business assets.
Proven Expertise: Evidence-Based Engineering. I focus on building functional, high-latency systems that solve real business problems. Explore my projects below for live demos and technical documentation.
Technologies I work with and tools I use daily.
AI Orchestration: LangGraph, LangChain, Stateful Multi-Agent Workflows, Agentic Design Patterns.
Backend Engineering: Python (Async), FastAPI, Pydantic, RESTful API Design.
Data & Security: Supabase (PostgreSQL), Row-Level Security (RLS), Vector Databases (Pinecone/Chroma).
Infrastructure & MLOps: Docker, Nginx, CI/CD (GitHub Actions), Container Orchestration, LangSmith (Observability).
Engineering Mindset: Persistent Problem Solving—utilizing first-principles thinking to resolve complex architectural bottlenecks and production errors.
Selected work and builds. Click a card to expand details.
My professional journey and key roles.
Automation Learners
2024-2025
Engineered and deployed production-grade n8n/Make.com workflows for agency clients.
Led technical support and debugging for complex API integrations and backend architectures.
Bridged the gap between marketing operations and deep technical engineering.
10xcube
2022-2024
Founded and scaled a digital marketing agency focused on Social Media Marketing and Paid Advertising.
Strategic Growth: Scaled the client base by 50% within the first year through aggressive business development.
Performance Marketing: Led high-impact ad campaigns, increasing client ROI by an average of 35%.
Team Leadership: Managed a dynamic team of marketers and creatives to execute data-driven strategies.
Process Optimization: Developed proprietary tools and methodologies to streamline campaign management.
Independent Consultant
2019-2021
Started my career helping businesses drive traffic through paid advertising.
• Managed ad budgets and optimized campaigns on Facebook & Instagram.
• Learned the fundamentals of Customer Acquisition Cost (CAC) and ROI.
• Gained deep insight into why leads fail to convert (usually due to slow response times).
Hajee Mohammad Danesh Science and Technology University
2019-2013
AI Models: OpenAI (GPT-4o), Anthropic (Claude 3.5), Groq, Google Gemini.
Automation: n8n (Advanced Workflows), Make.com, Webhooks.
Development: Cursor IDE (AI-Native Coding), VS Code, Git, Postman.
Cloud & Data: Render, Railway, Supabase Cloud, Apify (Web Scraping).
Business & Ops: GoHighLevel (CRM), HubSpot, Slack, Loom (Technical Demos).