mahmoud khashaba

Developed Python-based AI agent proxies integrating LangSmith with large language models such as DeepSeek and Alibaba’s Qwen. Maintained and extended backend services using Express.js, TypeScript, LangChain, and LangSmith. Built a custom Next.js logging interface to retrieve and visualize logs from Datadog for debugging and monitoring. Contributed to the maintenance and development of features in the company’s cross-platform Flutter application.

​AI & Remote Sensing: Developed PyTorch computer vision models for satellite imagery, automating geospatial feature extraction with high precision. ​Data Engineering: Built scalable streaming pipelines using Kafka and Spark, orchestrated via Airflow to process large-scale datasets. ​Full Stack Development: Engineered high-performance web applications using Next.js and FastAPI, focusing on type-safety and API efficiency.

Utilized TanStack and ShadCN to build scalable front-end architecture. Implemented Cypress tests to ensure code quality and automated testing. Developed and optimized React pages using NestJS and TypeScript for enhanced user experience. Integrated OAuth for secure user login functionality. Employed Axiom and Google Analytics to track and resolve backend errors and monitor event tracking. Used FastAPI Python and Puppeteer to scrape websites.

Developed robust APIs for -flight integration -bus/train ticketing -trips management Leveraged Stripe payment gateway for secure and seamless payment processing Upgraded legacy codebase to the latest technologies Improved cost efficiency by -reallocating AWS responsibilities -implementing code to automate and streamline cloud infrastructure and development processes. -using reliable cloud-based solution for image uploading.

Implemented an app for voice-over that enables users to -practice texts -listen to experts' records -record and publish their auditions Designed the app based on -Google material And Apple design resulting in a sleek and user-friendly interface.

Created and maintained the Mawad application, an e-commerce platform for construction materials Created a construction materials calculator module which -Calculates user needs based on cam recognition -Provides vendors sorted by an algorithm Matches users' preferences Implemented CI/CD for release resulting in a streamlined and efficient release process.

ERP website: -Web-based ERP for printing invoices and tracing inventory, clients, and suppliers Brand website: -A website with project previews, services, an about page, and an Admin dashboard. Medical-Serve: -API for making appointments with doctors or requesting a visit by a nurse for sample collecting.