Fady is a Software Engineer with expertise in Python, Ruby, and related frameworks and has worked with a wide range of technologies. He is skilled in web development, systems engineering, architecture, analysis, and soft skills. He has hands-on experience building and managing apps for various projects and product domains, with a current concentration on Python/Django.
Create and develop innovative software solutions for different clients across a broad range of industries.
Work with distributed cross-functional teams in ensuring all features are being delivered efficiently and on-time using agile methodologies.
Ensure that features are being delivered efficiently and on-time.
Maintained and added new feature to a US regulated bitcoin options exchange application dedicated to helping individual traders and institutions do more with bitcoin.
Managed to migrate the legacy API to Django. Maintained Core Exchange using Python and C++.
Refactored and migrated old customer facing API services to use Python/Django. Participated in the on-call procedure for monitoring and troubleshooting serious system issues.
Worked on developing an ecommerce consumer platform for bulk grocery and home staples powered by next generation artificial intelligence technology.
Led the search engine team and used Ruby on Rails to deliver various parts of the core application. Developed a Slack bot in Ruby for automating internal work and to help debug issues.
Developed our own analyzer plugin by using Elastic Search extensively. Migrated the core app from MRI Ruby to JRuby for better performance and scalability.
Developed a search engine to be used by scientific researchers, the engine would recommend research papers, significant authors, jobs, etc.
Introduced collaboration features which enabled researchers to collaborate on projects together.
Used Python and Flask to develop a fitness app that offered recipe and workout recommendations to users.
Developed and maintained a microservice based system on over six services using Scala/Akka, Cassandra, and Kafka.
Created an open source library that is the product of over one year of running our own Akka cluster (orkestra) in production.
Acted as a contributor to Akka. Developed Node.js applications and worked on an internal dashboard using Play and React/Redux.
This library is a product of over one year of running an Akka cluster (orkestra) in production.
It began as a routing and registration library for actors and router management.
The library has evolved into a comprehensive tool for bootstrapping new services with minimal coding effort.
This is a real-time ad server built using Akka, Scala, and Akka-remote.
The project was initially managed by the author, who was responsible for creating and managing individual services within a cluster.
The author was the sole employee during the project's early stages.
Developed and maintained a search engine for researchers using Node.js, MongoDB, and Elasticsearch.
The engine suggests research papers, authors, and jobs within a scientific topic.
Implemented a social component for researchers to collaborate on studies.
Developed a recommendation engine using Python, Flask, and machine learning techniques.
The engine focuses on suggesting meals and workouts to customers to aid in weight goal attainment.
Implemented word embeddings for enhanced personalization.
