Sahil Mohammad
Machine Learning Engineer @Street Simplified
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WORK HISTORY
Machine Learning Engineer @Street Simplified
Developed a physics-informed pipeline to estimate crash severity from near-miss vehicle conflicts by computing delta-v and impact angles using direction vectors.• Estimated MAIS3+ injury probability using logistic regression models, enabling severity-based ranking of conflict events.• Built and deployed an interactive Dash app on Heroku to visualize conflict trajectories and risk metrics.• Engineered an automated video-seeking tool to extract raw videos from Amazon S3 and seek directly to the precise moment of conflict, significantly reducing manual review time.
EDUCATION
Shree Bhavan's Bharti Public School - India
Secondary School
SRM IST Chennai
Bachelor of Technology - BTech, Computer Science
Shree Bhavan's Bharti Public School - India
Senior Secondary, Science and Maths
University of Luxembourg
Master of Science - MS, Data Science
ABOUT SAHIL MOHAMMAD
Results-driven Software Engineer with about 3 years of experience in software analysis…
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