About
Developer & Researcher
I'm Zaakki Ahamed, PhD. A backend-focused full-stack engineer with 6+ years of experience shipping production systems. I currently build the stack behind NAYLAM Technologies, Saudi Arabia's luxury chauffeur platform, and previously led AI engineering efforts at Kurasty and also delivering work for a Saudi government ministry.
My PhD work on deep reinforcement learning for cloud optimization is published in ISI-ranked Q2 journals. Outside of work, I enjoy writing, chess, and competitive sports.
Years Experience
AWS Cost Reduction
Projects Delivered
Q2 Publications
Skills
Full-stack engineer with deep backend expertise, cloud infrastructure experience, and applied AI/ML background.
Languages & Frameworks
Databases & ORMs
API & DevOps
AI & MLOps
Resume
Summary
Zaakki Ahamed
Backend-focused full-stack engineer with 6+ years shipping production systems in TypeScript (NestJS, Next.js, React) and PostgreSQL. Consistent 0-to-1 track record across luxury transport, AI-assisted procurement, Saudi government, and research, with recent concurrent delivery across two Saudi ventures aligned with Vision 2030. PhD in Computer Science (deep reinforcement learning, cloud optimization) with publications in ISI-ranked Q2 journals.
Education
Ph.D. in Computer Science, 2024
King Abdulaziz University, Saudi Arabia
GPA 4.75/5
M.Sc. in Computer Science, 2016
University of Peradeniya, Sri Lanka
Professional Graduate Diploma in IT, 2009
BCS, United Kingdom
MBCS (Professional Member)
Professional Experience
Full-Stack Developer / Backend Engineer
NAYLAM Technologies, Jeddah, Saudi Arabia | Sep 2025 - Present
Developer on the full stack (NestJS, React, TypeScript, Next.js) for Saudi Arabia's luxury chauffeur platform supporting a 115+ vehicle fleet and 30,000+ customers across Riyadh, Jeddah, and Dammam. Architected the unified dispatch dashboard from 0 to 1, cut AWS spending 45% with a 2-region disaster recovery architecture, built the customer rewards program end-to-end, and led the naylam.com migration from WordPress to Next.js with zero SEO loss.
AI Engineer / Backend Developer
Kurasty, Riyadh, Saudi Arabia | Aug 2024 - Aug 2025
Led cross-functional teams (AI, UI/UX, frontend, backend) at a Saudi AI procurement startup, while concurrently owning an end-to-end engagement for a Saudi government ministry. Shipped the ministry's digital platform as sole developer (backend, frontend, DevOps, HyperPay integration, DNS, stakeholder meetings). Built a vector-similarity search service, a Grammarly-style AI violation detection system, and orchestrated an Azure-to-GCP migration cutting infrastructure costs 30%.
Research Scientist, AI (Ph.D.)
King Abdulaziz University, Jeddah, Saudi Arabia | Aug 2018 - Jun 2024
Represented KAU for the NEOM project. Published in ISI-ranked Q2 journals (IF 3.9+) on deep reinforcement learning for federated cloud workload prediction. Designed a renewable-energy prediction system for NEOM city and built a bot-detection framework achieving 96% accuracy on regional Twitter data.
Projects
Deep Reinforcement Learning for Workload Prediction in Federated Cloud Environments
A highly adaptable workload prediction and resource
scaling solution using Deep Q Learning agents for CSPs in
Federated Cloud environments.
Published:
Link
Impact Factor: 3.9 (Q2 journal)
Technologies: Python, OpenAI Gym, PyTorch,
NumPy, Pandas, Matplotlib, Scipy
Technical Study of Deep Learning in Cloud Computing for Accurate Workload Prediction
A technical analysis utilizing deep learning methods for
workload prediction in real-world environments.
Published:
Link
Impact Factor: 2.9 (Q2 journal)
Technologies: Python, Keras, Scikit-learn,
TensorFlow, NumPy, Pandas
NEOM - A DL-Based Optimization for Renewable Energy Mix at Low Cost
Proposed a DL-based optimization for a low-cost renewable
energy mix in NEOM region, Saudi Arabia.
Project Link:
Link
Technologies: Python, MySQL, Keras,
Grafana, UNIX, Pandas, Slack, Zapier, GitHub, Dask
Web Crawler for Saudi TADAWUL / STOCK Exchange
Created a web scraping tool for retrieving real-time data
from the Saudi stock exchange.
Project Link:
Link
Technologies: R, JSON, HPC (Aziz
Supercomputer), Anaconda, Python, Matplotlib
Simple Yet Effective Prompt Splitter for ChatGPT
A simple, no-frills solution for generating prompts to
work within the maximum character limit of ChatGPT.
Project Link:
Link
Technologies: Python, GitHub
Corporate Website for Idroesse Infrastructure, UAE
Developed the website for a leading Italian Engineering
and Construction firm based in Abu Dhabi.
Project Link:
www.idroesse.com
Technologies: WordPress, XAMPP, Web
Hosting, CSS, FileZilla, PHP, HTML, JavaScript
Contact
Location:
Jeddah, KSA
Email:
Use contact form