Salil Gautam is a Senior Machine Learning Engineer with 9 years of experience building and operationalizing scalable ML systems, currently driving quality and technical depth for payments risk, compliance, and economics at Airbnb. He blends strong engineering practices (APIs, Airflow, Docker, cloud) with production-grade ML—feature engineering, ensemble models, deep learning, NLP and CV—to deliver robust, high-impact pipelines. Early career hackathon success (50+ wins) honed his rapid prototyping and problem-solving under extreme time constraints, a skill he now applies to complex compliance and payments problems. He has a track record of scaling models from research to regulated environments at Societe Generale and mentoring hands-on through programs like Scaler and Board Infinity. Based in Bengaluru, he pairs a formal PGD in ML/AI with practical experience across Azure/GCP/AWS to bridge data science and engineering for measurable business value.
9 years of coding experience
6 years of employment as a software developer
XII Science, XII Science at Army Public School, Mathura
Post Graduate Diploma in Machine Learning & AI (PGDML&AI) Machine Learning & Artificial Intelligence , Post Graduate Diploma in Machine Learning & AI (PGDML&AI) Machine Learning & Artificial Intelligence at International Institute of Information Technology Bangalore
Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at Army Institute of Technology, Pune
This application is developed to help speechless people interact with others with ease. It detects voice and converts the input speech into a sign language based video.
Contributions:7 commits, 2 PRs, 5 pushes in 3 years 11 months
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Salil Gautam - Senior Machine Learning Engineer at Airbnb