Summary
Siddhant Kumar is an Analyst in Financial Crime with nine years of engineering and data science experience building enterprise SaaS, travel, and finance solutions. He combines strong Python and SQL skills with hands-on work in automation, analytics, and AI product development, previously delivering CCaaS voice integrations and KPI-driven reporting for high-volume customer operations. His background spans quantitative research—having built and backtested 25+ alphas and ranked in the top 5% of an international quant challenge—and federated learning research on model robustness and backdoor attacks. A dual-degree graduate from IIT Kharagpur with an AI micro-specialization, he has practical experience optimizing production pipelines, from C++ mesh tooling to LSTM time-series models. Based in Gurugram, he now applies this cross-disciplinary expertise to global merchant network services at American Express, focusing on scalable, data-driven fraud prevention. He’s equally comfortable prototyping research ideas and shipping resilient systems that reduce operational risk.
9 years of coding experience
B.Tech. + M.Tech (Dual Degree), B.Tech. + M.Tech (Dual Degree) at Indian Institute of Technology, Kharagpur
Hindi, English