Priti Shaw
Banner Student SME/Senior Al/ML and Backend Developer | 8+ Years in Spring Boot, REST APIs, Kafka, AWS, Docker, React.js | Scalable Microservices & Full Stack Engineering | CI/CD | Agile | Fintech & Fraud Risk Systems
- Role
- Senior Software Engineer at FICO
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Priti Shaw
Results-driven Software Engineer with 8+ years of experience in full stack development and AI/ML integration across diverse domains. Skilled in designing scalable microservices, intelligent APIs, and production-ready ML pipelines. Experienced in translating complex business requirements into secure, high-performance solutions that meet global compliance standards
Experience
Senior Software Engineer
Feb 2023 — Present · Bengaluru, IN
Project: FICO’s Identity Resolution Engine - A high-performance backend system that matches and resolves entities across large,fragmented datasets. The engine plays a key role in client risk assessment, fraud detection, and compliance workflows.Key Responsibilities & Achievements: Led the design and implementation of a core module in FICO’s Identity Resolution Engine, enabling real-time and batch entitymatching across large, fragmented datasets used in fraud detection and compliance systems Developed machine learning-based entity resolution pipelines using Python, Scikit-learn, and custom similarity scoring techniques,improving match accuracy by 40% and boosting resolution precision across names, addresses, and IDs Designed and deployed RESTful microservices to expose intelligent matching, federated search, and link-discovery APIs,powering decision workflows for global clients in banking and insurance Built graph-based link discovery modules using Apache TinkerPop, uncovering non-obvious fraud networks and relationshipsbetween entities such as accounts, devices, addresses, and identities Integrated Spring Batch and Kafka to enable high-throughput batch processing and real-time streaming of identity data,supporting scalable ingestion and asynchronous alerts for high-risk matches Optimized fuzzy matching and data retrieval services using Spring Boot and Kafka, reducing query latency by 30% under highvolume identity reconciliation workloads Collaborated with InfoSec and compliance teams to enforce data privacy through PII masking, audit logging, and secure handlingof sensitive identity-linked datasets in production systems Engaged actively with GTS, PS, and Action Line teams during client support calls to troubleshoot backend and ML-relatedproduction issues, provide technical guidance on service stability and model integration, and drive resolution of critical incidentsimpacting system performance and prediction accuracy
Education
Haldia institute of technology
Bachelor of technology, Computer Science
2012 — 2016
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