Eslam Elsadawy

Building intelligent products, user-facing apps, and the systems that make them scale.

Software engineer building customer-facing products, AI-powered applications, and scalable backend systems across Siemens Calibre, research, and independent full-stack product work.

Summary

I am a software engineer who builds AI-powered products, user-facing applications, and the backend systems behind them. My work spans Siemens Calibre, where I contribute to high-impact workflows around RDF analysis and AI enablement, as well as full-stack products like TapToTab and Virtual Room Creator that turn technical ideas into experiences real users can interact with. I care most about software that is both technically strong and visibly useful, whether the audience is customers, product teams, or large-scale internal users.

Highlight Metrics

  • Built the multi-agent AI foundation used by 115 developers across 12 teams in Siemens Calibre
  • Reduced SEM review time by 80% for RDF analysis workflows inside the Calibre product line
  • Contributed to a 40% increase in RDF tool sales through better defect analysis throughput
  • Improved pipeline issue resolution throughput by 150% with a production Jenkins log analyzer
  • Shipped an AI news application used to reach 3,000+ developers across the organization
  • Improved TapToTab tablature accuracy by 60% and turned the research into a usable web product

Ask AI Me

Ask me anything about my work

You can ask about Siemens, published research, projects, leadership, or hiring-fit questions.

Live chat

Ask me about Siemens, TapToTab, projects, achievements, or how to reach me and I will answer here.

Experience

Siemens DISW

Software Engineer

Dec 2024 - Present / Cairo, Egypt

Building AI and computer vision systems inside Siemens' Calibre organization, combining platform depth with product-facing impact across workflows tied to one of the company's most important product lines.

  • Led the architecture of the Calibre division's multi-agent AI foundation, enabling reusable agents, RAG-powered documentation retrieval, and custom skill plugins for C++ infrastructure workflows.
  • Shipped the foundation to 115 developers across 12 teams in the Calibre organization, helping product and engineering teams reuse AI capabilities faster.
PythonTensorFlowComputer visionMulti-agent systemsRAG

Valeo

Software Engineering Intern

Oct 2024 - Dec 2024 / Cairo, Egypt

Built AI-driven applications for engineering leaders and large internal audiences, with a strong focus on usability, polished delivery, and measurable adoption.

  • Engineered a Jenkins log analyzer that identified likely pipeline failure causes and increased pipeline resolution throughput by 150%.
  • Built an AI news portal with React and FastAPI for directors and managers to broadcast AI adoption initiatives through a clear product experience.
ReactFastAPIPythonJenkinsInternal tools

Selected Work

2024 / Multimodal AI / IEEE Publication

TapToTab

A published multimodal AI system that turns guitar performance video into playable tablature using audio-video fusion and oriented object detection.

  • Published the TapToTab paper in IEEE and released a self-collected labeled guitar audio and video dataset on IEEE DataPort.
  • Designed an audio-video fusion algorithm with YOLOv8 OBB that improved tablature accuracy by 60% over prior approaches.
PythonYOLOv8 OBBReactAWS LambdaAudio-video fusionIEEE Paper

2024 / Full-Stack Engineering Platform

Contest Filtration System

A TypeScript contest operations platform that aggregated contest data and automated scoring workflows across 20+ university events.

  • Built the backend and frontend platform to manage contest workflows, contestant data, and automated result processing.
  • Replaced single-contest filtering with a weighted multi-contest evaluation model for fairer selection outcomes.
TypeScriptNode.jsExpressTailwind CSSPlaywright

2024 / Real-Time Collaborative Platform

Virtual Room Creator

A full-stack platform where users can create interactive rooms, define realistic room metrics, and collaborate through real-time updates.

  • Built a room creation platform used by 300 users, covering room setup, configuration, and collaborative interaction.
  • Implemented real-time interactions with WebSockets and designed backend APIs plus database schemas for scalable room management.
ReactTypeScriptTailwind CSSSpring BootMavenDocker
Live demoPrivate repository

Education

Cairo, Egypt

Ain Shams University

Bachelor of Science (B.Sc.), Computer Science, Graduated September 2024, GPA: 3.4/4.0

2020 - 2024

Graduated September 2024. Relevant coursework: Data Structures, Algorithms, Operating Systems, Machine Learning, Computer Vision, Database Systems, Software Engineering.

Technical Skills

Languages

Python, TypeScript, JavaScript, C++, Java, SQL, Bash

Cloud and DevOps

AWS Lambda, S3, API Gateway, CloudWatch, Docker, Jenkins, GitHub Actions, Linux

Frameworks

React, FastAPI, Node.js, Express.js, Tailwind CSS, Playwright

AI and ML

TensorFlow, YOLOv8 OBB, Computer Vision, RAG, Multi-Agent Systems

Developer Tools

Git, GitHub

Achievements

IEEE Publication

Published TapToTab and released the supporting guitar note recognition dataset on IEEE platforms.

ECPC 2023 Finalist

Reached the Egyptian Collegiate Programming Contest finals.

Structured Programming Course

Placed 3rd out of 400 teams.

Dell AI Hackathon

Won 3rd place with a computer vision-powered food spoilage detection system for smart refrigerators.

Leadership

ACM ASCIS / 2024

Technical Head

Led a student engineering team focused on practical software delivery, technical growth, and contest-oriented systems.

  • Led 20 members across frontend and backend tracks.
  • Delivered technical sessions and mentored students on building production-ready applications.
  • Directed development of problem-solving and contest systems used in university workflows.

Let's build something meaningful.