• Architected and developed an AI-driven financial application using Python and JavaScript, enhancing customer interaction and support, and significantly reducing response time by 30%.• Led the design and implementation of a microservices architecture for a trading application using Spring Boot and PostgreSQL, resulting in improved scalability and maintainability.• Engineered a robust expense management app for the fintech sector, integrating C# backend services with React for the frontend, optimizing user experience and performance.• Implemented a real-time booking system for a travel application using Django and RabbitMQ, facilitating seamless flight and hotel reservations, which increased user engagement by 25%.• Created an event-driven architecture for an audio streaming platform, leveraging Apache Kafka for real-time data processing and enhancing the overall user experience.• Developed a multi-vendor e-commerce application using Node.js and Angular, incorporating AWS for cloud deployment, which improved transaction processing speeds by 40%.• Designed and executed CI/CD pipelines with Jenkins and Docker for a home delivery service app, significantly reducing deployment times and enhancing release frequency.• Built a voice recognition feature for an AI-based educational app using TensorFlow, improving accessibility and user engagement for learners with diverse needs.• Optimized database performance for a marketplace application by implementing efficient data modeling in MongoDB, resulting in a 50% reduction in query response times.• Collaborated with cross-functional teams in an Agile environment to deliver a childcare service app, utilizing TypeScript and FastAPI, which increased user adoption by 35% within the first quarter.

• Developed and deployed Python backend systems and machine learning models for applications such as predictive maintenance, customer segmentation, and demand forecasting. • Collaborated with cross-functional teams to gather requirements and design scalable backend solutions, implementing data pipelines using technologies like Apache Spark and AWS Glue. • Utilized Python for data manipulation and model development, leveraging libraries like NumPy, Pandas, and Scikit-Learn, as well as frameworks like Django and Flask. • Integrated machine learning models with cloud services (AWS, Azure, GCP), deploying them using Docker containers and orchestrated with Kubernetes. • Ensured model performance and scalability by implementing robust monitoring and optimization strategies while maintaining backend security through regular testing. • Developed an AI-driven communication system using advanced natural language processing techniques, integrating real-time data streams for enhanced accessibility. • Worked with a multidisciplinary team to design and deploy a translation model using Python, FastAPI, and other backend technologies, improving user engagement. • Specialized in text classification and statistical modeling, employing SQL and NoSQL databases for efficient data management and retrieval through GraphQL.

• Developed scalable web applications using React and Node.js, implementing microservices architecture to enhance system modularity and maintainability. • Designed and optimized RESTful APIs with Express.js and Django, ensuring seamless data flow between front-end and back-end systems. • Implemented real-time messaging solutions using RabbitMQ and Apache Kafka to facilitate efficient data processing in event-driven architectures. • Managed databases such as PostgreSQL and MongoDB, focusing on performance tuning, data modeling, and implementing security best practices like OAuth2 and JWT. • Utilized AWS services (EC2, S3, RDS) for cloud deployment, improving application reliability and scalability while reducing operational costs. • Streamlined CI/CD pipelines with Jenkins and Docker, enabling automated testing and deployment processes that enhanced team productivity. • Conducted thorough testing using JUnit, PyTest, and Selenium to ensure high-quality code and adherence to Test-Driven Development principles. • Collaborated in Agile teams, leveraging tools like Git and JIRA to manage project workflows effectively and adapt to changing requirements.