Spearheaded the development of a comprehensive online banking platform using a microservices architecture with Spring Boot incorporating core functionalities such as account management, fund transfers, bill payments, loan applications, investment tracking, and customer support.Engineered responsive and dynamic user interfaces with Angular, HTML5, CSS3, and TypeScript, ensuring a seamless and intuitive user experience across various devices, while managing application state effectively with NgRx.Designed and optimized relational databases using MySQL and PostgreSQL, employing JPA and Hibernate for efficient data persistence, and implemented OAuth2 and JWT for secure authentication and authorization.Deployed and maintained the application on AWS, utilizing services including EC2, S3, RDS, and Lambda for high availability, scalability, and cost-efficiency, and configured Jenkins pipelines for automated continuous integration and delivery.Integrated third-party payment gateways and real-time transaction monitoring systems, enhancing platform functionality and security while employing machine learning algorithms for robust fraud detection and prevention.

Part of the Digital Transformation and Innovation (DTI) team of the Organisation • Automation of ITSM by replacing Chatbots powered by AI to improve IT staff efficiency.• To add more power to the chatbots, Integrated chatbots with various IT Service Management softwares and CRM platforms like Cherwell, IMIConnect, OTRS, etc.As a skilled software engineer, I specialize in developing custom AI chatbots and innovative solutions for clients. My expertise spans technologies like Dialogflow, Node.js, HTML, CSS, JavaScript, Machine Learning, and NLP.I have successfully designed and implemented chatbots that enhance customer service and operational efficiency. My work includes:EnerSys: Developed an IT Service Management chatbot that handles queries for internal employees across nine languages on the web, email, and Teams channels.Skoda Auto India: Created a chatbot to answer customer queries about car prices, bookings, and spare parts on the web, WhatsApp, and Facebook channels.I excel in designing user-friendly front-end interfaces and integrating chatbots with backend systems and databases like MongoDB. My efforts have driven significant business value, generating profits of 500-600k USD for the company.

Developed and fine-tuned a robust fraud detection model using Python and machine learning algorithms like Random Forest and Decision Trees.Engineered ETL pipelines with Apache Spark and Kafka for real-time data processing, ensuring efficient data ingestion and transformation.Implemented SQL and NoSQL databases (MySQL, MongoDB) for managing and optimizing large datasets crucial for fraud analysis.Utilized Hadoop ecosystem tools (HDFS, Hive, Pig) for scalable data storage and analysis in handling big data challenges.Deployed and monitored the fraud detection model on AWS (EC2, S3, RDS) for reliability and performance, leveraging AWS CloudWatch.