Results-driven Full Stack Developer/Architect with 19+ years of experience delivering scalable, high-performance enterprise systems across regulated industries such as banking, retail, and logistics. Currently augmenting this foundation with an M.S. in Artificial Intelligence, actively applying AI/ML tools (e.g., Hugging Face Transformers, TensorFlow, PyTorch) to real-world use cases including underwriting automation and QA systems.
While continuing to deepen practical AI experience, I’ve already proposed automation solutions and explored AI-assisted development using tools like GitHub Copilot. My strong systems thinking, combined with a deep understanding of enterprise architectures and emerging AI trends, positions me to help organizations confidently build, integrate, and scale intelligent solutions.
Client: Bank of America NA
Project: Global Underwriting Solutions
Description:
Global Underwriting Solutions is a comprehensive platform designed to streamline the loan origination and underwriting process for a wide range of credit activities, including new loans, renewals, credit actions, and reviews. The system supports end-to-end loan lifecycle management through various stages—loan origination, underwriting, automated rule-based decision-making, monitoring, and documentation—across diverse loan sectors globally.
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Client: Wells Fargo NA – Charlotte, NC, USA
Project: Control Monitor Supervisory Tool (CMST)
Description:
The Control Monitor Supervisory Tool (CMST) is a Capital Markets Monitoring platform developed to detect potential insider trading activities by bank employees across a range of financial assets, including foreign exchange (FX), equities, and other instruments. The system consolidates trade data from multiple sources, identifies anomalous behavior, and generates alerts for review by HR, compliance officers, and Line of Business (LOB) managers.
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Client: Bank of America NA
Project: Workplace – Credit Underwriting Application
Description:
Workplace is a Credit Underwriting Application developed for the Wholesale Banking division to facilitate secure, efficient loan underwriting. The platform provides comprehensive features including user role-based access management (admin, analyst, lead), workflow approvals, ticket tracking, customer and document management. It integrates with various enterprise systems to streamline and automate the end-to-end underwriting lifecycle.
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Client: Wells Fargo NA – Charlotte, NC, USA
Project: Fraud Prevention and Authentication (FPA)
Description:
The Fraud Prevention and Authentication (FPA) system is a comprehensive security platform designed to safeguard web applications from various cyber threats, including Cross-Site Scripting (XSS), Content Security Policy (CSP) violations, Cross-Site Request Forgery (CSRF), SQL Injection, and Session Fixation. The core module, WASAPI, enforces enterprise-wide security protocols to detect, prevent, and mitigate real-time security risks.
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Client: US Bank – Charlotte, NC, USA
Project: ACH Component – FX Settlement Automation
Description:
The ACH component automates the processing of FX settlement transactions, including forwards and spot trades, by extracting data from multiple Systems of Record (SORs). It generates NACHA-compliant files for ACH payments, processes response files, and delivers timely notifications to business users, ensuring operational accuracy and compliance with financial standards.
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Client: Bank of America NA – Charlotte, NC, USA
Project: Improved Risk Rating (IRR) System
Description:
The Improved Risk Rating (IRR) system is a multi-component platform used for credit risk evaluation across various lines of business. It includes both interactive scorecards (UI-based) and batch-processing tools (Batch Rater) that enable business users to assign obligor ratings, ensuring accurate and consistent risk assessments.
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Client: Belk Inc – Charlotte, NC, USA
Project: Content Acquisition Request System (CARS)
Description:
CARS (Content Acquisition Request System) is Belk’s enterprise platform developed to enhance e-commerce product content by managing vendor-submitted SKU data, product styles, and associated images across various levels (style, color, size). The system supports the configuration of patterns, collections, inventory metadata, and image processing workflows. It integrates with RMS, PIM, Inventory Services, RRC Image Process, and CMP through a SOA-based architecture leveraging both SOAP and REST APIs. The system also includes an Ecommerce Integration Framework to facilitate real-time data flow between CARS and the Order Management System (DOM). Enhancements included robust failover mechanisms and integration layer improvements.
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Clients:
Project: VX Web & Kiosk, Workbrain T/A, and HR Intranet Applications
Description:
Worked across multiple enterprise projects including VX WEB & Kiosk, Virgin America's online booking and check-in platform, and Workbrain Time & Attendance (T/A) and HR Intranet systems for Aon Hewitt. Responsibilities included full-cycle application development, enhancement, integration, testing, and production support. The role required cross-functional collaboration with onshore and offshore teams, addressing large-scale migrations, mobile application integrations, and performance/security optimizations.
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Additional Experience:
Java Developer / Software Engineer – Marlabs Software pvt ltd , Nessac (2005–2009)
Worked as a Java Developer on enterprise applications for logistics and financial services at Marlabs and Nessac (2008–2010), focusing on UI development, service integration, and core module implementation using Java, Struts, Hibernate, and JUnit.
Backend: Java, Spring Boot, Python, Nodejs, REST/SOAP
Frontend: ReactJS, TypeScript, JavaScript, HTML/CSS
AI/ML: TensorFlow, PyTorch, Scikit-learn, Hugging Face, NLP
Cloud/DevOps: AWS, PCF, Docker, Kubernetes, Jenkins, Git, Ansible
Data: Oracle, MSSQL, MongoDB, Pandas, NumPy, SQL
Messaging: Kafka, IBM MQ
Security: OAuth2, JWT, Spring Security, OWASP
Visualization & Testing: Matplotlib, Seaborn, JMeter, AppDynamics, SonarQube
Tools: IBM ODM, GridGain, Jupyter, Eclipse, Colab, GitHub Copilot