Shalini Shamirpet

• Led the end-to-end development of the Crucinos mobile application across iOS (Xcode/SwiftUI) and Android (Kotlin), integrating authentication flows, Firebase SMS verification, payment processing, rewards logic, menu APIs, and real-time push notifications via Firebase Cloud Messaging (FCM).
• Built and maintained scalable backend components using AWS Amplify/Cognito, AWS Lambda, DynamoDB, and RESTful/HTTP API patterns, following microservices and event-driven architecture principles. Integrated Clover APIs for order and payment processing and leveraged AWS and Google Cloud Platform (GCP) services for serverless compute, API management, and operational monitoring.

• Developed GenAI Lock-to-Funding predictive models using Python and Snowpark, delivering 95% accuracy and enabling faster, data-driven funding decisions across operational workflows.
• Built a 98% accurate Broker Communication Sentiment Agent using Claude, Reka Flash, and LLaMA LLMs, incorporating Streamlit, advanced prompt engineering to classify sentiment, identify priority issues, and trigger automated alerts via Google API services.
• Designed and deployed Snowflake Cortex–based GenAI classification models to analyze broker messages and support tickets, achieving 97% accuracy and reducing issue routing and processing time by 39%.
• Engineered end-to-end Snowflake ETL workflows by designing database schemas, creating staging/production tables, developing Snowflake
Stored Procedures, and implementing CI/CD deployment pipelines.
• Developed 50+ interactive dashboards using Power BI, Tableau, and RIMs to visualize loan properties, funding transactions, operational KPIs,
and financial health for leadership and business stakeholders.
• Created and maintained end-to-end workflow documentation, process maps, and operational standards using Jira and Asana to streamline
communication and accelerate project delivery.

• Designed and deployed real-time Tableau dashboards integrating SQL, Python, and SharePoint data sources to enable self-serve analytics and
accelerate decision-making for cross-functional teams.
• Developed advanced SQL queries and stored logic to support finance and analytics teams in performing detailed revenue flow mapping and
variance analysis.
• Collaborated closely with Finance, Revenue Operations, and Data Engineering teams to define data requirements, resolve data gaps, and ensure
consistent data governance across reporting systems.
• Built Python-based automated reporting pipelines that captured over 50% of previously untracked transactional data, significantly improving
reporting accuracy and operational visibility.

• Led the design, deployment, and training of 5 classification AI models achieving over 97% accuracy, across 4 marketplaces, identifying 1,000+
incompliant sellers and improving compliance workflows.
• Authored, optimized, and validated 100+ SQL queries to analyze product catalog data and influence rule-based decision frameworks across
multiple business units.
• Built over 16 Power BI dashboards for real-time KPI monitoring, enabling leadership and senior stakeholders to track operational performance
and identify trends.
• Developed comprehensive process documentation, SOPs, and workflow playbooks to support scalable training, cross-team onboarding, and
global operational consistency.
• Automated verification workflows using Python, significantly increasing throughput, eliminating manual tasks, and reducing delays.
• Collaborated with Product, Compliance, and TechOps teams to gather requirements, align solutions with business needs, and support continuous
process improvements.
• Trained cross-functional teams, supported workflow allocation, and contributed to Agile sprint cycles to ensure effective execution and
alignment across teams.

• Conducted underwriting analysis for 180+ properties, identifying market trends that informed investment decisions.
• Developed research templates and process documentation for consistent data deliverables, presenting findings to stakeholders to refine underwriting assumptions and enhance valuations.