• Architected SaaS platform modules using React.js for frontend dashboards and Python-based APIs for backend data services, enabling customers to configure compliance workflows dynamically. • Designed and deployed microservices in Python and Node.js to handle real-time document ingestion, OCR processing, and compliance scoring, improving processing speed by 30%. • Implemented LangChain + LangGraph agents to automate multi-step workflows for policy compliance validation and data extraction from structured/unstructured documents. • Built AI-driven features such as natural-language search, document scoring, and automated report generation using Python (Pandas, NumPy) and TensorFlow models. • Established Kafka-based event pipelines for asynchronous document processing and distributed execution. • Spearheaded frontend revamp with Material UI, improving responsiveness and reducing customer-reported UI issues by 40%. • Integrated PostgreSQL + MongoDB schemas for hybrid storage solutions, balancing structured compliance metadata with unstructured OCR output. • Contributed to CI/CD pipeline improvements (Docker + Jenkins), reducing deployment times by 25%. • Mentored 4 junior developers, providing code reviews, design guidance, and AI integration training.

• Led end-to-end delivery of SME and Retail banking portals, onboarding solutions, and card management platforms. • Developed secure financial APIs in Python (Flask/Django) and Node.js, integrated with Spring Boot microservices, ensuring compliance with PSD2/Open Banking standards. • Designed Python-based risk validation modules for fraud detection and real-time transaction monitoring. • Integrated Kafka messaging pipelines for asynchronous transaction updates and customer notification systems. • Collaborated with InfoSec team to enforce data encryption, role-based access, and audit logging across applications. • Built React.js dashboards for customers and internal bank staff to visualize account activity, credit scoring, and transaction histories. • Managed distributed Agile teams (15–20 members) across geographies, driving backlog grooming, sprint planning, and delivery. • Reduced onboarding time for SME accounts

• Developed Learning Management Systems (LMS) and Content Management Systems (CMS) for global clients (Discovery Education, Cengage), serving thousands of daily users. • Designed Python-based ETL pipelines (Pandas + NumPy) to process large volumes of student/course data, automating ingestion from multiple third-party sources. • Built Node.js backend services with REST APIs for assignment submissions, course recommendations, and student progress tracking. • Designed search and recommendation engines using Python + SQL queries, improving content discovery efficiency by 35%. • Implemented automated testing frameworks using Selenium (Python + Java) and integrated with Jenkins CI/CD pipelines, ensuring >90% test coverage. • Migrated legacy systems to MongoDB + MySQL hybrid storage, supporting structured course data and unstructured learning content. • Conducted requirement analysis with clients, translating functional requirements into technical specifications and delivering solutions under tight deadlines.