AI Staff Engineer
DEEP.SALeading AI initiatives at a Saudi AI startup focused on technology and internet solutions.
About Me
AI Staff Engineer @ DEEP.SA | Cursor Ambassador | Ex-Senior ML Engineer @ Malaa | M.Sc. in AI, B.Sc. in CS from Oregon State University. Building intelligent systems and bridging research to production.
6+
Years in AI
3
Publications
5
Certifications
5/19
Goals Achieved
My professional journey
Leading AI initiatives at a Saudi AI startup focused on technology and internet solutions.
Advocating for AI-powered development tools and helping developers discover the future of coding.
Non-profit association supported by Misk Foundation & SDAIA, empowering data science and AI enthusiasts through workshops, datathons, and job shadowing at major tech companies. Focused on Vision 2030 digital transformation.
Improved ML systems for Personal Finance Management, built Data Infra for internal auditing, and implemented backend features at this Saudi FinTech startup.
Core member of Machine Common Sense (MCS) challenge team. Helped achieve 1st place in majority of tracks against Berkeley and MIT. Built two-stage tracker combining appearance and motion cues.
Contributed to DARPA's Machine Common Sense challenge. Built tracker with Online Tracker, Appearance Matching, and Reasoning Agent modules. TA for Python, Databases, Algorithms, Networking, and Graph Theory courses.
Built image labeling tool (jQuery/NodeJS) improving performance 10x. Designed ML pipeline to auto-label 100K+ bird sound samples using HMM, FFT, and K-means clustering.
Developed Tech Data AI Demo presented at IBM Think 2019 (sponsored by IBM, NVIDIA, OpenPower). Contributed to DL projects: Owl Sounds, Plankton, and Seeds Classification.
Academic background
Oregon State University
Supervised by Dr. Fuxin Li at Deep Machine Vision (DMV). Research focus on object tracking and anomaly detection.
2020 - 2022Oregon State University
Minor in Actuarial Science. VP of OSU ML/AI Club (2017-2019). Lead GPU Computational Researcher at CGRB.
2015 - 2019Credentials and achievements
The Linux Foundation / PyTorch
Maven
Full Stack Deep Learning
Coursera / DeepLearning.AI
Coursera / DeepLearning.AI
Research papers and contributions
Web interface for browsing Arabic NLP datasets with data exploration, filtration, and API access.
View paperNovel multi-track pooling module for discriminative appearance modeling in online tracking.
View paperEvaluation of GPU architectures for processing massive audio, video, and DNA sequence data.
View paperTechnical expertise
Things I want to achieve
Inspired by Chip Huyen's "List 100". A collection of things I want to do before I die.
5 of 19 goals achieved
Whether you have a question, want to collaborate, or just want to say hi - I'd love to hear from you.
Or email me: mazen [dot] ota [at] gmail [dot] com
Check out the tools I use, read my blog posts, or see what I'm doing now.