Ahmad Yakubu Ahmad
Software Engineer
My Contact
Skills
Education Background
2025
Ph.D. in Software Engineering, Harvard University
Percentage:
2021
Masters in Computer Engineering, Massachusetts Institute of Technology (MIT)
Percentage:
2019
Bachelor of Science in Software Engineering, Stanford University
Percentage:
About Me
Passionate Software Engineer with a strong background in designing scalable web applications, AI-driven solutions, and cloud-native systems. With a proven track record at top tech companies, I specialize in building high-performance, user-centric software that drives innovation. Constantly pushing boundaries in AI, full-stack development, and system architecture.
Professional Experience
Google | Senior Software Engineer
2023 - Present
Key Responsibilities
- Developing large-scale AI-powered search systems
- Leading a team on high-traffic web applications
- Improving system performance by 30% through efficient data processing
Meta | Software Engineer II
2021 - 2023
Key Responsibilities
- Built scalable GraphQL APIs for Meta's social platforms
- Optimized real-time data pipelines to handle 100M+ users
- Implemented AI-driven recommendation systems
Netflix | Full Stack Engineer
2020 - 2021
Key Responsibilities
- Redesigned the video streaming UI for better user experience
- Developed microservices for personalized content delivery
- Worked on React-based frontend and Node.js backend
Amazon | Software Engineer Intern
2019 - 2020
Key Responsibilities
- Developed an automation tool reducing deployment time by 40%
- Implemented AWS Lambda functions for serverless processing
- Improved backend performance for e-commerce search
Projects
AI Resume Analyzer
An AI-powered resume analysis tool that evaluates a candidate's fit for job postings using NLP and machine learning.
Real-time Collaboration Platform
Built a web-based collaboration tool similar to Google Docs, enabling real-time document editing using WebSockets.
E-commerce Personalization Engine
Developed an AI-based recommendation system that increased user engagement by 35% in an online marketplace.
DevOps Automation Dashboard
Designed a cloud-based dashboard to monitor, deploy, and manage containerized applications across Kubernetes clusters.
Stock Market Prediction Model
Built a deep learning model using LSTMs to forecast stock trends with high accuracy.