Summary
Rahul Gautam is a Senior Machine Learning Engineer with 12 years of experience building production-grade AI systems, now at Visa after a 4.0 MS in Data Science (Language Intelligence) from Texas A&M. He combines deep research expertise in anomaly and out-of-distribution detection with practical deployment skills—delivering real-time fraud detectors and multi-task computer vision models optimized for speed and resource use. His background spans industry and academia, from leading large-scale CCTV anomaly projects and bank fraud systems at LG CNS to Bayesian supply-chain models and probabilistic risk work for DHS-funded research. Fluent in PyTorch, TensorFlow, C++ deployment, and meta-heuristic optimization, he excels at turning complex mathematical models into reliable, scalable software. Based in Austin, Rahul also brings a pragmatic curiosity—favoring Python for large-data exploration—and a track record of integrating heterogeneous datasets and improving operational decision-making.
12 years of coding experience
5 years of employment as a software developer
All India Senior Secondary Certificate Examination, PCM, All India Senior Secondary Certificate Examination, PCM at Delhi Public School, Bokaro Steel City.
Secondary Examination, Secondary Examination at D.A.V. Public School - India
Master of Science - MS, Data Science, 4.0/4.0, Master of Science - MS, Data Science, 4.0/4.0 at Texas A&M University
5 Year Integrated Bachelors and Masters Degree of Technology, Industrial Engineering and Management, 8.30/10.0, 5 Year Integrated Bachelors and Masters Degree of Technology, Industrial Engineering and Management, 8.30/10.0 at Indian Institute of Technology, Kharagpur