Founding engineer at Nover, working the full path from an API request to a delivered AI result: real-time services, job orchestration, GPU inference, storage, deployment, and the failure handling between them.
Earlier: SEO data automation, EEG research software, and autonomous-rover systems. That work, plus an EE degree and leading a 70+ member robotics org, taught me to value clear ownership and software that stays understandable when something breaks.
Data automation, computational-neuroscience research, and student robotics. Each taught me something different about building carefully with other people.
Backend & Data Automation Intern
I helped automate parts of an SEO research workflow, connecting FastAPI services with DataForSEO and language-model APIs. I also added cost tracking and structured logging so API usage and failures were easier to understand.
Software Engineer, R&D · Part-time
I worked on a real-time EEG pipeline for a non-invasive neuromodulation research effort. My contribution covered signal processing, a Kuramoto-based computational module, containerized backend services, and validation work for the research platform.
Volunteer · Chairman, Vice Chairman & Software Engineer
I joined as a rover software engineer and was later trusted to serve as Vice Chairman and Chairman of a 70+ member student engineering organization. In those roles, I helped align the software, electrical, and mechanical teams; supported the move to ROS 2; worked on university and industry partnerships; and coordinated funding, travel, and competition preparation. Together, the team earned second place at UGVC 2024 and third place at UGVC 2025. Earlier, I contributed to its ninth-place European Rover Challenge finish.
selected work
Commit your team's encrypted .env to git, so cloning the repo is all it takes to get working config. Every ciphertext carries a detached signature that fails closed.
AI generation is distributed work: requests need state, queues, workers, progress, files, and failures users can understand.
L40S GPU inference backend Read case study →Workers crash, leases expire, and retries pile up. The queue makes ownership, recovery, and dead-letter behavior explicit.
35s max crash recovery Read case study →High event volume can make a live dashboard lie. This keeps task orchestration and browser rendering within honest limits.
750+ events/sec orchestration Read case study →Packet tools need capture, parsing, and rendering to stay decoupled while traffic keeps moving and protocols hide data.
60 tests · 3-platform CI Read case study →teaching & outreach
Demystifying low-level hardware, circuit physics, and bare-metal programming for the next generation of Arab engineers.
A comprehensive, hands-on video curriculum created for Arabic.Tech, taking students and engineers from foundational electronics through Arduino C++ programming, non-blocking timing, and sensor telemetry.
Engineering education frequently stalls by staying purely theoretical or reducing embedded development to copy-pasting sketch code without understanding circuit behavior. This course bridges electrical fundamentals (Ohm’s law, resistor networks, 10-bit ADC quantization) directly with microcontroller internals, virtual simulation on TinkerCAD, and physical bench testing.
Ohm’s Law (V=IR), breadboard physics, resistor dividers, power constraints, and current limits.
GPIO registers, digital logic, 10-bit ADC quantization, internal pull-up states, and Atmega328P architecture.
State machine architectures, non-blocking execution using millis(), avoiding pipeline stall bugs.
Ultrasonic time-of-flight, analog potentiometers, PWM motor driving, and noise mitigation in sensor readings.
UART communication protocol, bidirectional data streaming with PC, and real-time LCD character display interfaces.
Interactive circuit simulation, schematic validation, and bench debugging before wiring real hardware components.
Open to backend systems, AI infrastructure, and product engineering roles.
