Zakariye Mohamed
I buildweb applicationsPassionate full-stack developer with 1 year of experience building scalable web applications and AI-powered solutions using RAG pipelines or trained models. Specialized in Python, React, Next.js, and modern cloud technologies (AWS,Azure,GCP).
About Me
Get to know me better
I’m Zakariye Mohamed, a Computer Science student at Georgia State University (Expected May 2027) specializing in AI engineering, cloud infrastructure, and MLOps. I’ve worked as an AI Engineer Intern at Crescent Technology, where I built production-ready RAG pipelines that improved response relevance and reduced hallucinations by ~40%, created real-time vector database workflows for accurate document retrieval, and implemented time-based chat memory expiration to strengthen privacy and performance.
Currently, as a Software Engineer Intern at Signify, I help migrate legacy on-prem systems to AWS and Azure, design secure VPC/IAM architectures, build and maintain CI/CD pipelines, and develop automated ML workflows for training and deployment using cloud services.
Outside of internships, I build end to end products like a multimodal emotion & sentiment model deployed via AWS SageMaker endpoints with a SaaS interface, and a Next.js AI budget tracker with intelligent receipt parsing, insights, and secure authentication. I’m driven by building systems that are not just impressive in demos, but reliable, observable, secure, and scalable in production.
Skills & Expertise
A comprehensive overview of my technical proficiencies and tools I work with daily
Ai Ml
7Backend
5Cloud
4Database
4Design
2Devops
7Frontend
5Mobile
2Soft Skills
4Testing
1Tools
1Work Experience
My professional journey
Software Engineer Intern
Signify
•internshipMigrated legacy on-prem infrastructure to AWS and Azure, designing secure VPC networking, IAM roles/policies, and cloud resources to improve scalability and reliability.
Built and maintained CI/CD pipelines to automate application + infrastructure deployments, testing, and monitoring.
Developed automated machine learning workflows for data processing, model training, validation, and deploymentusing cloud-native services.
Improved release speed and reliability by standardizing deployment workflows and infrastructure practices.
Key Responsibilities:
- Increased deployment reliability by standardizing pipeline workflows across environments.
- Designed and implemented secure VPC + IAM architecture to support scalable cloud migration.
- Reduced manual effort by automating repeatable deployment and validation steps in CI/CD.
AI Engineer Intern
Crescent Technology
•internshipBuilt a production RAG pipeline that reduced hallucinated responses by 30% and improved answer relevance in real usage.
Implemented vector database pipelines enabling real-time document ingestion, updates, and deletions to keep AI responses accurate and current.
Developed context-aware chat memory with time-based auto-expiration to improve relevance, privacy, and system performance.
Created AI-driven real-time service workflows for lead capture and escalation to support customer operations.
Built analytics dashboards to monitor AI latency, usage, and engagement metrics.
Deployed scalable AI services using Docker, AWS, REST APIs, and optimized SQL queries for performance.
Key Responsibilities:
- Built AI-powered SaaS platforms using React, Python, and TensorFlow
- Integrated OpenAI GPT models for intelligent chatbot features
- Developed RESTful APIs for ML model inference
- Optimized ML model deployment for production environments
- Collaborated with data scientists to productionize ML models
Achievements:
- Launched 3 successful AI products serving 10,000+ users
- Reduced API response time by 50% through caching and optimization
Education
My academic background
Bachelor of Science
Georgia State University
Computer Science
Comprehensive computer science education with focus on software engineering, ML/AI, and systems design. Active member of Computer Science Club, NSBE at Georgia State, and ColorStack.
Achievements & Honors
- ▸5x Deans List
Featured Projects
Some of my best work
Multimodal Emotion & Sentiment AI (SaaS + SageMaker)
A multimodal deep learning system that predicts emotion/sentiment from video + audio + text, deployed as a SaaS with inference APIs and quotas
Production CI/CD + Kubernetes Delivery (Amazon Prime Clone)
A production-style CI/CD pipeline that builds, scans, deploys, monitors, and rolls back a containerized application on Kubernetes
Certifications
Professional credentials and certifications
July 24, 2025
CERTIFICATE
for
Microsoft Azure Fundamentals
Microsoft Azure certification demonstrating expertise in designing distributed systems and applications on Azure platform.
Microsoft
June 15, 2025
CERTIFICATE
for
AWS Certified Cloud Practitioner
AWS certification demonstrating expertise in designing distributed systems and applications on AWS platform.
Amazon Web Services
Credential ID:
dcda45f9248e4d0e8a586a36373ebebb
Get In Touch
Wherever you are in the world, let's work together on your next project.