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Jeevan aher
Junior AI Engineer specializing in fraud detection, credit risk, and LLMs in FinTech
Remote, USAAI Engineer Intern3 years experienceInternFinancial ServicesFinTechTechnology
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About
AI engineer with production experience building a high-accuracy (98%) fraud detection system operating at real-time latency (1–2s) over millions of transactions, using a multi-model pipeline approach to meet performance constraints. Also implemented Airflow-orchestrated workflows (DAGs, retries, alerts) to replace brittle cron scripts and is currently pursuing a master’s project on real-time ASL-to-text conversion.
Experience
AI Engineer InternJPMorgan Chase
AI EngineerPhonePe
Education
University of Illinoismaster, Computer Science (2025)
Savitribai Phule Pune universitybachelor, Computer Engineering (2024)
Key Strengths
- Built and deployed fraud detection system handling millions of transactions with ~98% accuracy
- Designed low-latency real-time decisioning (1–2 second inference requirement)
- Architected multi-model pipelines to reduce inference time versus a single monolithic model
- Improved reliability of fraud detection data workflows by migrating cron-based scripts to Apache Airflow (DAGs, retries, alerts)
- Structured approach to AI workflow reliability (modular design, layered testing, monitoring, rollback)
- Effective collaboration with non-technical operations stakeholders using dashboards and iterative threshold/feature tuning
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