• Led the design and development of a metered billing platform using Python and React, enabling usage-based pricing and introducing three new pricing models using Stripe as customer volume and billing complexity increased
• Re-architected a sequential campaign execution pipeline into a DAG-based parallel task executor, eliminating blocking dependencies and reducing end-to-end runtime from 9 minutes to 3 minutes under peak production load
• Developed a RAG pipeline combining semantic retrieval and structured prompt injection, designing LLM evals to measure response accuracy and hallucination rates and improving multi-turn agents response quality by 35% compared to prior methods
• Designed a multi-agent LLM workflow to automate real-time enrichment of large prospect datasets, reducing manual intervention by 50% while maintaining data consistency under concurrent updates
• Led the development of a distributed async orchestration layer for bi-directional CRM sync using Celery and RabbitMQ, resolving race conditions caused by concurrent updates and reducing end-to-end sync latency by 35% under high-concurrency workloads
• Reduced response-to-render latency by 60% by parallelizing dependent REST API calls and introducing client-side caching with React Query, improving load times across high-traffic dashboard views

• Working as a Teaching Assistant under Professor Marwan Subbouh for the Advanced Big Data Applications course.

• FreeCodeCamp - pull request - good first issue
• Currently working on other projects

• Scaled .NET app to handle 12 concurrent streams with optimized multithreading, achieving 10% faster processing times
• Redesigned UI using WPF and MVVM architecture, supporting seamless display of up to 12 real-time video streams
• Minimized frame drop rates by 20% by integrating RabbitMQ for real-time queue management from distinct IP streams
• Achieved a 30% improvement in system reliability by migrating from MEncoder to FFmpeg to enable seamless playback and fault-tolerant processing for transcoding and broadcasting live streams via RTSP
• Enhanced frame storage with asynchronous I/O and centralized database, achieving 10% reduction in data processing latency
• Built a workforce productivity tool using microservice architecture with Java (Spring Boot), React, PostgreSQL, Docker deployed on AWS EC2 via Jenkins CI/CD, following TDD, improving team performance by 20%
• Automated daily email updates by implementing an AWS Lambda function integrated with SES and RDS, saving approx. 10 hours per week and ensuring consistent, timely communication
• Collaborated with the infra team to implement RBAC with Azure AD, enhancing security and reducing login errors from 50+ per week to less than 10, while streamlining user access management across the system
• Developed alongside an Agile team of three and optimized RESTful APIs for key functionalities, achieving a 25% reduction in response times and 70% test coverage through comprehensive unit and integration testing

link to project i worked on

• Implemented advanced React UI components, like pagination, search and filtering boosting user engagement by 30%
• Created automated test scripts with Selenium and Python, increasing test coverage by 20%, reducing manual testing efforts
• Optimized front-end assets and utilized CDN services, improving website performance and reducing page load time by 20%
• Developed Shopify Plus features, such as custom filters and enhanced checkout processes, boosting UX and conversions by 15%
• Implemented PayPal and Stripe integrations, facilitating secure and seamless payment processing for 15,000 customers, reducing errors by 25%