Aman Jaiswal
@amanjaiswal
I am an ML engineer building production-grade AI and scalable data infrastructure for fintech and e-commerce.
What I'm looking for
I have 6+ years of experience in machine learning, big data, and backend engineering, currently solving ML challenges at petabyte scale at CRED. I build production-grade ML systems and scalable data infrastructure across fintech, retail, e‑commerce, and finance.
At CRED I optimized general risk models and short-term risk prediction systems, extending predictive horizons to 24 months and improving bad-loan recall by ~9%. I improved personalized reward recommendations, lifting look-to-click conversions by ~10%, and designed an AI engineering stack that reduced ops time ~40–45% and improved MTTR/MTTA by 20%.
Previously at Walmart I built ML systems that removed manual work (99% reduction) and delivered multi-million dollar annual savings (register loss recovery, returns analytics). I have led large-scale data migrations, built custom ingestion frameworks, and implemented robust model monitoring and serving pipelines.
I contribute to open source, write technical posts, and mentor junior engineers. I am seeking a remote ML role in Europe where I can apply production AI expertise, scalable data engineering, and a strong focus on measurable business impact.
Experience
Work history, roles, and key accomplishments
Software Engineer, Machine Learning
CRED
Nov 2023 - Present (1 year 9 months)
Optimized enterprise-wide risk and short-term default models, improving bad-loan recall by ~9% and extending predictive horizons to 24 months; improved personalized reward recommendations, boosting look-to-click by ~10% and reducing ops time ~40-45% via an AI engineering stack.
Software Engineer III, Data & ML
Walmart
Oct 2021 - Nov 2023 (2 years 1 month)
Built ML-powered systems that cut manual invoice processing by 99% and developed register loss/recovery pipelines saving $2–5M/year; implemented regression and MLflow pipelines to analyze store returns, saving ~$3M/year.
Software Engineer
To The New
Feb 2019 - Oct 2021 (2 years 8 months)
Refactored a high-load tax-filing system to achieve 2× throughput using Go concurrency patterns for clients including PwC and Majid Al Futtaim.
Education
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