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Usama MuhammadUM
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Usama Muhammad

@usamamuhammad

AI Engineer at Agent Astro building FDA regulatory-intelligence systems with production RAG, multi-agent research, and cited outputs.

South Korea
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At Agent Astro, I designed the AI and data architecture for an FDA regulatory-intelligence platform and built production RAG across FDA submissions, recalls, and guidance. I also developed a multi-agent research orchestrator that generates cited research memos and published an MCP server for direct access to its capabilities.

At Braindeck Inc., I built a Korean-language speech-recognition model and integrated it into an avatar communication platform for users with dysarthria. My research at KAIST applied machine learning and reinforcement learning to signal integrity, DRAM equalization, robotics, and anomaly detection; I’ve also developed AI systems for medical screening and assistive communication.

Experience

Work history, roles, and key accomplishments

EP
Current

Founder / Tech Track Participant

Everyone's Startup Project

May 2026 - Present (5 months)

Developing an AI-driven cognitive preservation platform; advanced via Fast-Track selection and secured startup activity funding.

KA

Graduate Student Researcher

KAIST

Aug 2017 - Aug 2026 (9 years)

Developed advanced machine learning techniques for signal integrity and equalizer optimization, and led robotics research on visual odometry and localization. Built ML applications for regulatory intelligence and applied deep reinforcement learning to control systems.

KC

Short-term Teaching Assistant

KAIST EE Visit Camp

Jan 2021 - Dec 2024 (3 years 11 months)

Coordinated camp logistics and facilitated research lab tours for prospective international students.

KA

Part-time Researcher

KAIST

Aug 2023 - Feb 2024 (6 months)

Executed targeted research tasks under the supervision of professors.

KA

KAIST EE Ambassador

KAIST

Jan 2018 - Dec 2022 (4 years 11 months)

Represented KAIST EE at NUST, conducting recruitment seminars for prospective graduate students.

KE

Teaching Assistant

KAIST EEIO

Sep 2018 - Feb 2019 (5 months)

Managed information desk operations, supported international students administratively, and organized EEIO Visit Camp events.

NL

Research Assistant

NUST-Robotics & Intelligent Systems Engineering (RISE Lab)

Feb 2016 - Jul 2017 (1 year 5 months)

Developed a wearable fNIRS device for real-time hemodynamic brain profiling and implemented signal processing and ML techniques for brain signal feature extraction.

NI

Intern Application Engineer

National Instruments

Jul 2016 - Sep 2016 (2 months)

Completed LabVIEW certification training and designed and implemented a 'Hybrid Control of Inverted Pendulum' project on NI hardware platforms.

Education

Degrees, certifications, and relevant coursework

KK

Korea Advanced Institute of Science and Technology (KAIST)

Ph.D., Electrical Engineering

2019 - 2026

Grade: 3.95/4.3 (Top 5%)

Ph.D. in Electrical Engineering with a focus on anomaly detection and reinforcement learning for high-speed DRAM systems. Achieved a GPA of 3.95/4.3, placing in the top 5%.

KK

Korea Advanced Institute of Science and Technology (KAIST)

M.S., Electrical Engineering

2017 - 2019

Grade: 3.97/4.3 (Top 3.7%)

M.S. in Electrical Engineering with a thesis on robust neural networks and efficient exploration in reinforcement learning. Achieved a GPA of 3.97/4.3, placing in the top 3.7%.

NN

National University of Sciences and Technology (NUST)

B.E., Electrical Engineering

2013 - 2017

Grade: 3.99/4.0 (Gold Medalist)

B.E. in Electrical Engineering with a thesis on fNIRS-based brain signal pattern detection. Graduated as Gold Medalist with a GPA of 3.99/4.0 and received the President of Pakistan Gold Medal.

NI

National Instruments

Certified Associate Developer, LabVIEW Development

2016 - 2016

Certified Associate Developer – LabVIEW, awarded by National Instruments.

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