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AI & Full‑Stack
Engineer

Hands-on experience building and scaling production systems across web, cloud, and applied AI. Currently leading the revamp of a customer-facing LLM chatbot powered by a custom RAG architecture at ITWorx, with enterprise clients including Allegro, Bartlett, and L3 Harris.

Akram Samir

Background & Skills

I'm Akram Samir, an AI Engineer & Full-Stack Software Engineer based in Cairo, Egypt. I lead the development of enterprise AI solutions — focusing on Generative AI, Large Language Models, and RAG architectures — while maintaining strong full-stack engineering foundations in .NET, FastAPI, and React with cloud-native deployments on AWS.

AI / GenAI
LLMs RAG Architectures Generative AI Machine Learning Deep Learning Computer Vision TensorFlow PyTorch

Languages
Python C# TypeScript JavaScript Java SQL

Frameworks
FastAPI .NET Core React Angular Django Node.js Next.js gRPC

Cloud & Infra
AWS Docker Microservices CI/CD REST APIs Git

Featured Work

Enterprise LLM Chatbot — RAG Architecture

Led the revamp of a customer-facing LLM chatbot using a custom RAG pipeline for enterprise knowledge retrieval. Drove improvements in document chunking, embeddings, and retrieval pipelines to deliver accurate, context-aware responses for clients including Allegro, Bartlett, and L3 Harris.

LLMs RAG Generative AI FastAPI React gRPC

Coastal Line Change Detection — Deep Learning

Applied deep learning to automatically extract coastlines from satellite imagery using Computer Vision. Built a predictive model to forecast future coastal changes based on historical climate data.

TensorFlow U-Net DeepLabV3+ Python Computer Vision
View Code

Cloud-Native Microservices API

Production-level microservices architecture built with .NET Core and deployed on AWS ECS. Covers authentication, data persistence, and inter-service communication with Docker-based CI/CD.

.NET Core AWS ECS Docker Microservices REST API
View Code

Work History

Oct 2025 — Present

Software Engineer — Fullstack & AI

ITWorx
  • Led development of a customer-facing LLM chatbot using a custom RAG architecture for enterprise knowledge retrieval.
  • Delivered advanced AI solutions adopted by Allegro, Bartlett, and L3 Harris.
  • Built full-stack applications using React and FastAPI, improving responsiveness and UX.
  • Implemented gRPC APIs to optimise microservice communication and reduce network overhead.
  • Contributed to scalable microservices architecture with clean API design and service integration.
  • Applied new .NET and C# features, improving code quality and backend efficiency.
Jul 2025 — Oct 2025

Fullstack Developer

Everything To Gain
  • Refactored backend from FastAPI to .NET Core, improving type safety and maintainability.
  • Architected strongly-typed .NET API endpoints integrated with Angular frontend modules.
  • Optimised async task scheduling with Celery, increasing reliability of background workflows.
  • Implemented Angular components and services with tight coupling to new .NET services.
Dec 2023 — May 2024

Backend Developer

Julfar Consultancy Services
  • Built Web API applications using microservices architecture with .NET Core.
  • Developed Django-based applications on MongoDB, enhancing data retrieval efficiency.
  • Worked with AWS EC2, S3, and CloudWatch; deployed microservices on AWS ECS.
  • Contributed to production-level AI projects and deployment pipelines.
  • Collaborated in Agile sprints with frequent feedback cycles.
2019 — 2023

Bachelor of Computer Science

Helwan University — Faculty of CS & AI

GPA 3.0 / 4.0. Core areas: Data Structures & Algorithms, Machine Learning, Computer Vision, Operating Systems, Computer Networks.

Let's Work Together

Open to full-time roles in AI engineering, GenAI product development, and full-stack engineering.