Muhammad Qasim
Chief AI Officer at Ranea.ai
Karachi Division, Sindh, Pakistan
Summary
🤩
Rockstar🎓
Top SchoolMuhammad Qasim is an AI architect and educator with over a decade of experience building cloud-native, agentic AI systems and leading data science initiatives across healthcare and education. He currently serves as Chief Data Scientist at Cancer Clarity LLC and holds leadership AI roles at Panacloud, PIAIC, and regional government initiatives, architecting platforms that combine OpenAI agents, Kubernetes/Dapr, RAG, and predictive analytics. Known for scaling learning programs—having helped train hundreds of thousands of students—he blends hands-on engineering (NumPy performance work and production APIs) with curriculum design and national AI strategy. His research publications and MS in Data Science (NLP focus) complement a practical focus on end-to-end model connectivity and serverless deployment for mission-driven products. Notably, he bridges grassroots technical instruction with enterprise AI leadership, driving agentic workflows from classroom experiments to clinical research.
9 years of coding experience
5 years of employment as a software developer
BSCS, Computer Science, BSCS, Computer Science at Preston UniversityS.S.C, Science, S.S.C, Science at Karachi boardMSDS, Data Science, MSDS, Data Science at National University of Computer and Emerging Sciences
Stackoverflow
103reputation
23kreached
0answers
1question
Github Skills (7)
data-manipulation10
python10
numpy10
data-analysis9
performance-optimization9
keras6
tensorflow6
Programming languages (4)
Github contributions (5)
EnggQasim/Batch04_to_35
Dec 2020 - Mar 2021
PIAIC Quarter 2 Classes
Role in this project:
Data Scientist
Data ScientistContributions:31 commits, 27 pushes, 1 branch in 3 months
Contributions summary:Muhammad's commits primarily focus on implementing and experimenting with NumPy for numerical computations, specifically within the context of a "PIAIC Quarter 2 Classes" repository. The code demonstrates the use of NumPy for array creation, manipulation, and mathematical operations. The user upgraded NumPy and benchmarked the performance of NumPy arrays against list comprehensions. Additional commits show an in-depth exploration of NumPy, including array reshaping, indexing, and slicing, with an emphasis on performance gains.
piaicquarter
inampaki/bootcamp2021-urdu
Jul 2021 - Dec 2021
Contributions:57 commits, 51 pushes in 5 months
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