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 policycompliance validation and data extraction from structured/unstructured documents

Built AI-driven features such as natural-language search, document scoring, andautomated report generation using Python (Pandas, NumPy) and TensorFlow models

Established Kafka-based event pipelines for asynchronous document processing anddistributed execution

Spearheaded frontend revamp with Material UI, improving responsiveness and reducingcustomer-reported UI issues by 40%.

Integrated PostgreSQL + MongoDB schemas for hybrid storage solutions, balancingstructured compliance metadata with unstructured OCR output

Contributed to CI/CD pipeline improvements (Docker + Jenkins), reducing deploymenttimes 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, andcard management platforms

Developed secure financial APIs in Python (Flask/Django) and Node.js, integrated withSpring Boot microservices, ensuring compliance with PSD2/Open Banking standards

Designed Python-based risk validation modules for fraud detection and real-timetransaction monitoring

Integrated Kafka messaging pipelines for asynchronous transaction updates andcustomer notification systems

Collaborated with InfoSec team to enforce data encryption, role-based access, and auditlogging across applications

Built React.js dashboards for customers and internal bank staff to visualize accountactivity, credit scoring, and transaction histories

Managed distributed Agile teams (15–20 members) across geographies, driving backloggrooming, 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 ofstudent/course data, automating ingestion from multiple third-party sources

Built Node.js backend services with REST APIs for assignment submissions, courserecommendations, and student progress tracking

Designed search and recommendation engines using Python + SQL queries, improvingcontent discovery efficiency by 35%

Implemented automated testing frameworks using Selenium (Python + Java) andintegrated with Jenkins CI/CD pipelines, ensuring >90% test coverage

Migrated legacy systems to MongoDB + MySQL hybrid storage, supporting structuredcourse data and unstructured learning content

Conducted requirement analysis with clients, translating functional requirements intotechnical specifications and delivering solutions under tight deadlines.