Ali Mohammad

• Developed and maintained backend services using FastAPI and Node.js
for recruitment and hiring management systems.
• Designed and implemented Applicant Tracking System (ATS) features to
manage job postings, candidate profiles, and recruitment workflows.
• Built APIs to track and automate recruitment stages (application,
screening, interviews, offers).
• Integrated MongoDB for efficient data modeling, storage, and retrieval of
candidates and hiring processes.
• Ensured scalable, secure, and high-performance backend architecture.
• Collaborated with frontend and product teams to align system
functionality with business hiring needs.

• Delivered courses in Python, C++, Java, and JavaScript, focusing on algorithms,
data structures, and OOP.
• Designed practical projects and real-world simulations, enhancing students
coding proficiency.
• Supervised graduation projects in AI, web, and mobile development, providing
mentorship and technical support.

• Developed and optimized AI-powered backend systems with Django and
FastAPI, ensuring seamless AI model integration.
• Enhanced database performance with query optimization and caching (Redis),
leading to faster response times.
• Integrated NLP and AI technologies (ChatGPT, Amazon Polly, Wav2Lip) to
improve user interaction and video lip-syncing.
• Optimized cloud infrastructure, deploying services on AWS (EC2, S3, Lambda)
and containerizing applications using Docker.
• Implemented asynchronous task processing with Celery and RabbitMQ for
efficient AI-driven applications.

• Built scalable APIs and microservices using ASP.NET Core and Node.js.
• Designed and optimized SQL and NoSQL databases, improving query
performance and reducing latency.
• Integrated RabbitMQ & Kafka for efficient message queuing and asynchronous
processing.
• Developed backend for Flutter applications, managing authentication, data
storage, and server integration.