Saurabh Zinjad
AI ML Data Engineer
Tempe, Arizona, United States
Summary
👤
Senior🎓
Top SchoolSaurabh Zinjad is an AI/ML data engineer with nine years of hands-on experience building production AI systems and full-stack solutions, currently focused on LLM safety and alignment. He blends applied research and engineering across academia and industry—moving from deep learning roles in India to research and engineering positions at Arizona State University and the University of Phoenix. Comfortable shipping end-to-end pipelines, he has scaled ML models in enterprise and research settings and continues to deepen expertise in responsible AI practices. Based in Tempe, he pairs an MS in Computer Science (AI) with a background in electronics and telecom, which gives him a pragmatic systems view that informs both model and infrastructure decisions.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science - Artificial Intelligence, Master of Science - MS Computer Science - Artificial Intelligence at Arizona State UniversityBachelor's degree Electronics and Telecommunication Engineering, Bachelor's degree Electronics and Telecommunication Engineering at Pune Institute of Computer Technology
Stackoverflow
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0reached
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Github Skills (64)
stock10
convolutional-neural-networks10
classification10
audio-files10
k-means-clustering10
volatility10
correlation10
stock-prediction10
random-forest10
emotion-detection10
matplotlib9
prompt9
emotion-recognition9
stock-data9
python9
Programming languages (5)
Github contributions (5)
Ztrimus/speech-emotion-recognition
Jun 2019 - Jan 2022
Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
Contributions:12 commits, 11 pushes, 1 branch in 2 years 7 months
speechdeep-learningneural-networklibrosakeras
Ztrimus/ResumeFlow
Nov 2023 - Jun 2026
Simplify and improve the job hunting experience by integrating LLMs to automate tasks such as resume and cover letter generation, as well as application submission, saving users time and effort.
Contributions:18 PRs, 193 pushes, 22 branches in 2 years 6 months
autoapplyautomationjobsearchjobseekerllm
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