About
I'm a Software Engineer with experience in AI/ML engineering and backend engineering. I graduated with a B.S. in Computing & IT from RIT and am currently pursuing an M.S. in Data Analytics at RIT. I also hold a Computer Science certification from 42 School and an honorary certificate in Data Science from DIP. I've been interviewed on Fox, CBS, and NBC, and featured in Khaleej Times and other UAE news outlets. In my spare time, I work on personal projects and read self-development books.
Work Experience
06/2024 - 10/2024
Kubar.io
Kubar.io
Lead ML Engineer. Led 6 ML and 5 data engineers to develop an AI platform for predictive scaling, targeting 7-figure cloud savings. Managed ML workflows with Kubeflow, deploying LSTM, ARIMA, and SARIMAX models. Integrated KServe for scalable inferencing and optimized real-time streaming with Kafka. Worked with Microsoft, Oracle, and Careem mentors, reporting to the CTO.
12/2023 - 01/2024
ZainTECH
ZainTECH
AI Engineer Intern. Contributed to Ijaba AI, an award-winning chatbot recognized at the Fast Company Middle East Innovation Awards 2024. Built RAG pipelines with LlamaIndex and Azure OpenAI (ChatGPT-3.5) for real-time Q&A. Optimized vector search with pgvector, improving efficiency and cutting costs. Presented to senior leadership.
Education
01/2025 - 05/2026
RIT
RIT
M.S. in Data Analytics. Focus on making data-driven decisions, handling complex, real-world data, and creating value through analytics. Technical coursework in big data strategy, data security, infrastructure, data analysis, emerging technologies like AI, machine learning, and robotics, with emphasis on practical applications supported by public and private sector collaborations.
RIT
B.S. in Computing and Information Technologies. Focus on software engineering, network administration, cybersecurity, and data management. Technical coursework in software development, cybersecurity, systems administration, network design, database modeling, and data mining, with emphasis on real-world IT infrastructure, systems integration, and project-based learning in IT solutions.
42 School
Computer Science. Focus on problem-solving, data structures, algorithms, low-level programming, and software engineering fundamentals. Additional coursework in entrepreneurship and functional mathematics. Practical projects emphasizing teamwork, autonomy, and adaptability.
Skills
Programming Languages
Python, R, SQL, C\C++, JavaScript, HTML, CSS
ML Libraries
Scikit-Learn, Pandas, NumPy, Matplotlib, Seaborn
Tools & Platforms
Kubernetes, Docker, Microsoft Azure
Languages
English (Native), Arabic (Fluent), Russian (Conversational)