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muhammad owaisMO
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muhammad owais

@muhammadowais4

I build production AI systems, medical imaging models, and full-stack healthcare platforms.

Pakistan
Message

I've built AI systems at the National Center of Artificial Intelligence, including a voice-to-report pipeline using Whisper STT and MedGemma that reduced report generation time by 60%.

I led work on real-time clinical reporting, building WebSocket ETL pipelines, speaker diarization across 50+ recordings, and a FHIR-compliant MongoDB data layer supporting over 1,000 patient profiles. I also deployed quantized MedGemma models on GPU clusters, delivering 3x faster inference latency.

At the Pakistan Telecommunication Authority, I designed Node.js and Express REST APIs and dashboards for administrative SQL data access across MySQL and PostgreSQL.

My projects span production ML observability, brain MRI synthesis with WGAN-GP, dementia diagnostics with ResNet-34 and RAG, and CUDA optimization that achieved a 56x speedup on an MNIST neural network.

Experience

Work history, roles, and key accomplishments

PP

Full Stack Web Developer – Intern

Pakistan Telecommunication Authority – PTA

Mar 2025 - May 2025 (2 months)

Designed RESTful APIs (Node.js/Express) and dashboards to enable admin SQL data access via MySQL and PostgreSQL.

Education

Degrees, certifications, and relevant coursework

FAST National University of Computing and Emerging Sciences logoFS

FAST National University of Computing and Emerging Sciences

Bachelor of Science, Computer Science

2022 -

Grade: 3.51

Activities and societies: Dean's List

Pursuing a Bachelor of Computer Science with a CGPA of 3.51 and recognition as a Dean's List holder.

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