Preet Shah
Software Engineer Iii @JPMorganChase
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WORK HISTORY
Software Engineer Iii @JPMorganChase
Mumbai, IN
Developed automated data-quality validation frameworks (schema checks, null checks, drift detection), reducing bad data propagation by 80%. Implemented statistical + ML-based anomaly detection for telemetry data, catching 30–50% more pipeline issues proactively.• Built and deployed Flask-based REST APIs to serve ML models with minimal latency and 99.9% availability, enabling real-time scoring for high-traffic applications.• Developed RAG-based GenAI systems using LangChain and OpenAI GPT models for Derivatives & External Reporting, reducing manual reconciliation effort by 40% and improving commentary turnaround time.• Built and deployed containerized anomaly detection services using K-Means, LOF, and time-series models on PySpark and Databricks, cutting production deployment time by 75% and enabling configurable anomaly use cases for financial controllers.
EDUCATION
Dwarkadas J. Sanghvi College of Engineering
BE - Bachelor of Engineering
Hvb Academy
Science
ABOUT PREET SHAH
As an Assistant Vice President / Software Engineer at JPMorgan Chase, I specialize in developing advanced data-quality validation frameworks, implementing ML-based anomaly detection, and building low-latency REST APIs for real-time model scoring with high availability. I have contributed to reducing manual reconciliation efforts and enhancing data processes by leveraging RAG-based GenAI systems, LangChain, and OpenAI GPT models. My work also includes deploying containerized anomaly detection services and statistical models to streamline operations. With a Bachelor of Engineering in Computer Science from Dwarkadas J. Sanghvi College of Engineering, I have a strong foundation in AI, LLMs, Databricks, and AWS-based solutions. My certifications, such as AWS Certified Solutions Architect and expertise in developing predictive models, underscore my commitment to driving innovation. I aim to advance technology solutions that optimize business processes and enable impactful decision-making.
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