Siddharth K
Software Engineer at Baton
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSiddharth K is a software engineer with nine years of experience building ML-driven systems for logistics, aviation, and cloud customers, currently developing intelligent logistics infrastructure at Baton to optimize fleet operations. He holds a BS/MS from UC Berkeley and has applied operations research and ML in production roles at AWS and startups, including building an AI co-pilot for pilots at Beacon AI. Comfortable across ML infra, data engineering, and applied research, he has a track record of turning academic algorithms into scalable services for enterprise customers. Based in San Francisco, he blends deep technical training with hands-on experience in regulated industries, and often focuses on practical robustness and safety when deploying ML in mission-critical environments. An early background in fintech and financial services engineering gives him extra rigor in building auditable, production-grade systems.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS Industrial Engineering and Operations Research, Master of Science - MS Industrial Engineering and Operations Research at University of California, BerkeleyDistinguished Achievement Program Diploma IB Diploma, Distinguished Achievement Program Diploma IB Diploma at Coppell High School
English, Tamil, Spanish
Github Skills (47)
itunes10
similarity10
text-analysis10
content-based-recommendation10
aws-cdk9
word2vec9
spotify-api9
musixmatch9
nltk9
recommender-system9
glove9
nlp8
classification8
python8
natural-language-processing8
Programming languages (4)
Github contributions (5)
siddgood/podcast-recommendation-engine
Jan 2020 - Jan 2023
:microphone: Building a content-based podcast recommender system using NLP
Contributions:35 commits, 6 PRs, 34 pushes in 3 years
natural-language-processingrecommender-systemrecommendationcontent-based-recommendationnlp
aws-samples/amazon-sagemaker-pipelines-mxnet-image-classification
Jan 2023 - Feb 2023
Build an MXNet image classification model via SageMaker Pipelines
Contributions:35 commits, 24 pushes in 18 days
image-classificationmxnetsagemakerawsmachine-learning
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