Open to opportunities

Samroz Ahmad Shoaib

@samrozahmadshoaib

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I am an electrical engineering student specializing in hardware-aware AI and embedded systems for medical devices.

United Arab Emirates

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What I'm looking for

I seek engineering roles combining hardware design, embedded systems, and ML research—ideally in medical devices or robotics. I value collaborative teams, hands-on prototyping, and measurable user impact.

I am an Electrical Engineering student at New York University, Abu Dhabi, graduating May 2025, with a focus on embedded systems, hardware-aware machine learning, and robotics.

As Lead Capstone Engineer I led a team of four to design a low-cost robotic prosthetic arm that achieved over 90% motion accuracy, integrating EEG signals and AI for real-time brain-to-muscle control while iterating prototypes in SolidWorks.

In research roles I developed a Hardware-Aware Neural Architecture Search framework, implemented custom PyTorch architecture spaces, and coauthored a paper presented at DAC 2025 that improved latency prediction and model-size estimation across CPUs, GPUs, and embedded devices.

I also led a team as Lead AI Intern to improve LLM text-prediction accuracy by 30%, and have applied skills across PCB/ECG design, FFT-based tremor detection, and web accessibility projects; I seek to apply this blend of hardware and ML expertise to build impactful medical and robotic systems.

Experience

Work history, roles, and key accomplishments

Lead Capstone Engineer

New York University

Aug 2024 - May 2025 (9 months)

Led a team of four to design a low-cost robotic prosthetic arm achieving over 90% motion accuracy; integrated EEG-based AI control for real-time brain-muscle communication and iterated prototypes using SolidWorks and optical sensors.

Prototyping Solidworks EEG Signal Processing Embedded Systems Integration

Research Assistant

New York University

Feb 2022 - Nov 2024 (2 years 9 months)

Developed a hardware-aware neural architecture search framework that optimized three DNNs for hardware constraints, improving latency predictions and model size estimations across CPUs, GPUs, and embedded devices.

Hardware Neural Architecture Search PyTorch Optimization Embedded Systems Python

Lead AI Intern

ClabAI

May 2024 - Aug 2024 (3 months)

Led a team of six to design and deploy AI models for a college-application platform, fine-tuning large language models to increase text prediction accuracy by 30% and delivering real-time personalized guidance.

Team Leadership Model Fine Tuning Python PyTorch Software Development Code Review

Research Assistant

New York University

Apr 2023 - Aug 2023 (4 months)

Investigated Rayleigh–Taylor instabilities induced by centrifugal force, produced precision experimental discs via CNC machining, and developed numerical simulations to analyze and suppress instabilities.

Experimental Design CNC Machining Data Analysis Fluid Dynamics Matlab

Web Development Intern

New York University

Feb 2022 - May 2022 (3 months)

Designed accessible user interfaces for medical web applications and optimized backend code, developing and testing Qt-based interfaces for patients with writing disabilities to improve usability.

UI Design Accessibility Backend Testing HTML CSS User Research

Education

Degrees, certifications, and relevant coursework

New York University Abu Dhabi

Bachelor of Science, Electrical Engineering

Activities and societies: Lead Capstone Engineer (Mind Arm prosthetic); Research Assistant at eBrain Lab and SITE Lab; co-author of a DAC 2025 publication on hardware-aware neural architecture search.

Completed a B.S. in Electrical Engineering at New York University Abu Dhabi with coursework in Electronics, Embedded Systems, Photonics, Object-Oriented Programming, and Advanced Digital Logic. Graduated May 2025.