Ira Fernando
Data Scientist
Singapore
Summary
👤
Senior🎓
Top SchoolIra Fernando is a Data Scientist based in Singapore with nine years of engineering and consulting experience, currently applying deep learning and reinforcement learning to real-world problems at Grab. An Electronics Engineering graduate who completed Udacity’s Deep Learning Nanodegree, Ira bridges hardware-rooted systems thinking with modern ML practice, focusing on PyTorch/TensorFlow workflows, CNNs, and DRL. At Grab he leverages domain knowledge from prior technology consulting and systems support roles to move models toward production impact across transportation and logistics use cases. Actively reproducing research papers and building projects in computer vision and DRL, Ira is transitioning from theory to applied AI while retaining a pragmatic incident-response mindset from earlier enterprise work.
9 years of coding experience
Deep Learning Nanodegree, Deep Learning Nanodegree at UdacityBachelor’s Degree, Electrical, Electronics and Communications Engineering, Bachelor’s Degree, Electrical, Electronics and Communications Engineering at De La Salle University
English, Tagalog
Github Skills (17)
slow-motion9
convolutional-neural-networks8
geospatial7
kepler7
optical-flow7
large-scale6
visualization6
geospatial-analysis5
kepler-gl5
data-visualization5
scale5
deep-learning5
gis5
pytorch5
artificial-intelligence4
Programming languages (3)
Github contributions (5)
iocfinc/Super_SloMo_Implementation
Apr 2019 - Apr 2019
Contributions:28 commits, 24 pushes, 1 branch in 24 days
iocfinc/Grab-AIforSEA
Jun 2019 - Jul 2019
Entry for Grab's AI for S.E.A. challenge
Contributions:24 commits, 3 PRs, 14 pushes in 1 month
deep-learningartificial-intelligencemachine-learninggrab
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