
Mohamed Anwar A
Full Stack Developer | GenAI / RAG Specialist | DevOps
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About
Results-driven Full Stack Developer with 1 year of experience shipping production-grade, scalable applications at Arffy Technologies, specializing in GenAI/RAG pipelines, LangGraph agent workflows, and MCP tool integrations. Skilled in end-to-end ownership from UI design and API engineering to database architecture and cloud deployment. Experienced in AI-aided software development and using AI coding agents including Claude Code, Cursor, Codex, Windsurf, and Antigravity for code generation, existing-code enhancement, structured prompt-driven development, and manual code verification.
Known for clean architecture, scalable design patterns, and independently managing complex systems across diverse domains.
Experience
Full Stack Developer at Arffy Technologies (2025-06 – Present)
- Independently designed and shipped 6+ full-stack production applications across hiring, e-commerce, education, healthcare, AI, IoT, and document intelligence domains.
- Built an AI Orchestration Engine with Flowise AI, LLM-powered RAG pipelines, and MCP tool connections to enable complex chatbot-driven business workflows.
- Engineered a multi-role Job Portal Platform for job seeker, employer, and admin users with role-based access control using React.js and Node.js (NestJS).
- Delivered a Student Portal featuring complete payment integration, promo code system, and admin and learner dashboards.
- Architected a Healthcare Claim Management Platform with structured case workflows, data management, and AI-supported back-office processing.
- Created an OCR + AI Search System using semantic vector embeddings and Python FastAPI for intelligent document retrieval.
- Contributed to a smart Door Lock Management (IoT) beta platform for centralized access control and permission management.
- Implemented an Odoo E-Commerce Portal managing 2,500+ products: optimized the shop page to open in 1–3 seconds with advanced product filtering logic and dynamic UI/UX updates that refresh only the affected section; added inventory enhancements and AI-powered image background removal for bulk and single products using rembg (IS-Net model); introduced a product review module with a complete flow and email notifications; integrated Google Analytics for real visitor counts; and launched a ticketing module where customers and internal teams raise bugs or product issues, routed to the right team members, with Microsoft Teams channel-webhook notifications for Dev, DevOps, and internal teams.
- Built full-stack features using AI coding agents (Claude Code, Cursor, Codex, Windsurf, Antigravity) for code generation and enhancement of existing code through structured prompt-driven development, with manual code review and verification at every stage.
- Connected and orchestrated MCP (Model Context Protocol) tools across multiple AI agents for cross-tool context sharing and standardized agentic workflows, backed by reusable, auditable prompt templates.
- Owned the complete lifecycle of each system: frontend, backend, database design, REST API integration, Docker containerization, and Kubernetes (YAML) deployments, applying clean architecture and performance optimization standards throughout.
Web Development Intern at Aruvi Infotech (2024-12 – 2025-05)
- Produced full-stack web applications using Django (Python) and JavaScript for real-world business use cases.
- Collaborated on cross-functional projects, improving engineering workflows and strengthening frontend-backend integration skills.
- Built foundational projects including an E-Commerce Platform, Banking System, and Student Management System.
Education
Bachelor of Engineering in Computer Science – Al-Ameen Engineering College (2020 – 2024)
Full Stack Development Training – Aruvi Institute of Learning (2024 – 2025)


