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Arslanarsal/README.md

M. Arslan

Full Stack AI Engineer · AI Automation Specialist

I build production AI agents, automation systems and the backend infrastructure behind them


About

I design and deliver AI powered products end to end, from database and API design through to deployment, monitoring and production support.

My work sits in three areas. Generative AI and agentic systems, building agents that reason over context, call tools, take real actions and hand over to a human when they are not confident. Automation, connecting business systems so repetitive work runs on its own with retries, logging and alerting rather than silent failure. And full stack engineering, the APIs, data models, frontends and infrastructure that hold all of it together.

  • Building AI agents with Claude, OpenAI and Gemini using tool and function calling, conversation memory and confidence based human handover
  • Building RAG pipelines with ingestion, chunking, embeddings, hybrid retrieval, reranking and cited sources so answers come from real company data
  • Building custom MCP servers that expose internal systems to AI assistants through defined, permissioned tools
  • Building automation systems in n8n, Make, Zapier and GoHighLevel, and in code when a workflow outgrows the visual builder
  • Owning the DevOps side, Docker, CI/CD, cloud deployment, monitoring and live production support
  • 700+ DSA problems solved on LeetCode and an ICPC 2025 Regional participant

Currently Full Stack AI Engineer at Qeyafa Vision AI, building AI powered products for production users.


Tech Stack

Languages

TypeScript JavaScript Python C++ SQL Bash

Backend

Node.js NestJS Express FastAPI REST GraphQL WebSockets JWT

Frontend

React Next.js Redux React Query Tailwind

Generative AI & Agents

Anthropic Claude Code OpenAI Gemini LangChain LangGraph MCP AI Agents RAG

Vector & Retrieval

Pinecone pgvector Chroma FAISS

Databases & Queues

PostgreSQL MongoDB MySQL Prisma Redis BullMQ

Automation & Integrations

n8n Make Zapier GoHighLevel WhatsApp Meta Twilio Stripe Webhooks

DevOps & Cloud

Docker Kubernetes GitHub Actions Nginx AWS DigitalOcean Vercel Linux Git Sentry

Tools

Cursor Postman Playwright Jest Figma


How I Build

Every system I ship is built to survive a bad day, not just a demo. That means retries with backoff, rate limit handling, idempotency so a duplicate event never creates a duplicate record, structured logging of every run, and alerting so failures surface immediately instead of being discovered by a customer.

I also work daily inside AI assisted development tools, using Claude Code and Cursor for architecture planning, implementation, testing, code review and refactoring, while keeping human review on everything that ships.


GitHub Stats


Connect

Open to full time engineering roles and freelance projects.

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