Shashank Maiya
Sr. Staff Machine Learning Engineer at ServiceNow
California, United States
Summary
👤
Senior🎓
Top SchoolShashank Maiya is a Sr. Staff Machine Learning Engineer based in California with a PhD in Electrical Engineering and over a decade of industrial experience building production ML systems and wireless modem technologies. He specializes in NLP—designing NLQ, utterance-correction, and BERT/ALBERT-based question-answering models that power ServiceNow’s enterprise search and reduced inference latency by ~50% through model compression. Earlier at Qualcomm he drove end-to-end modem algorithm development, authored multiple patents and invention disclosures, and delivered high‑accuracy signal classifiers used in product commercialization. Comfortable bridging deep theory (probability, optimization, coding theory) and production engineering, he also pursues diverse ML projects—from neural machine translation to reinforcement learning for agents—in his spare time. His background combines rigorous academic training (Notre Dame, IIT Madras, Stanford AI coursework) with a proven track record of turning research innovations into scalable enterprise features.
9 years of coding experience
10 years of employment as a software developer
Indian Institute of Technology MadrasPh.D, Electrical Engineering, 4.0/4.0, Ph.D, Electrical Engineering, 4.0/4.0 at University of Notre DameData Science Career Track, Data Science Career Track at SpringboardArtificial Intelligence Graduate Professional Program, Artificial Intelligence Graduate Professional Program at Stanford University
Github Skills (42)
tf-idf8
nlp6
plot6
classification6
movie6
text-classification5
machine-learning5
python5
beam-search5
web-application4
gcloud4
mnist4
lstm3
keras3
convolutional-neural-networks3
Programming languages (3)
Github contributions (5)
shashankvmaiya/Algorithms-Data-Structures
May 2019 - Jul 2022
Contributions:30 pushes, 1 branch in 3 years 2 months
shashankvmaiya/Image-Classification-WebApp-CNN-Keras
Apr 2019 - Apr 2019
Image Classification of MNIST handwritten digits using Convolutional Neural Network + Keras
Contributions:29 commits, 28 pushes, 1 branch in 7 days
pythonkeras-modelsweb-applicationdigitsimage-classification
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