Irfan Danish
Islamabad, Islamabad Capital Territory, Pakistan
Summary
👤
Senior🎓
Top SchoolIrfan Danish is a Machine Learning Engineer and researcher with nine years of experience building and productionizing ML systems, currently based in Islamabad. He has led ML teams and MLOps initiatives at Urbanise, advancing models from development to deployment while maintaining cloud-native workflows. His technical interests span computer vision, reinforcement learning, NLP, and cognitive architectures, complemented by practical DevOps and big data expertise from freelance and platform work. Irfan also teaches—having delivered an online reinforcement learning course—and contributes to the Python open-source community, signaling a commitment to knowledge sharing. Pursuing an MS in Data Science, he combines academic rigor with hands-on engineering and a creative, self-motivated approach to problem solving. Notably, he blends research-minded experimentation with operational discipline, making him effective at turning prototypes into scalable production services.
9 years of coding experience
4 years of employment as a software developer
BS Electronics, Electronics, Physics, BS Electronics, Electronics, Physics at COMSATS University IslamabadMS Data Science, Machine Learning & Data Science, MS Data Science, Machine Learning & Data Science at National University of Computer and Emerging Sciences
Stackoverflow
103reputation
19kreached
3answers
4questions
Github Skills (47)
python10
machine-learning9
tensorflow9
neural-network9
deep-learning9
deep-neural-networks8
ml8
seq2seq7
computer-vision6
while-loop6
amazon-sagemaker6
shapes6
gpu6
windows6
amazon-web-services6
Programming languages (6)
Github contributions (5)
irdanish11/EasySeq2Seq
Jan 2019 - Aug 2022
This repository implements the a simple chat bot using Encoder Decoder Algorithm of RNN-Tensor-flow
Contributions:2 PRs, 10 pushes, 1 branch in 3 years 7 months
rnntensor-flowseq2seqsimple-chat-botctc
irdanish11/GANs-TimeSeriesForecasting
Jun 2020 - Jul 2020
Contributions:65 commits, 30 pushes, 1 branch in 1 month
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