Engineered a chatbot and text recognition system using Python and TensorFlow to enhance user engagement and system automation.

Transitioned a monolithic legacy system to a microservices architecture using Docker, Kubernetes, and Python, significantly improving scalability and reliability.

Migrated legacy systems to a scalable microservices architecture using Docker, Kubernetes, Python, and FastAPI, which significantly improved reliability and performance.

Designed and implemented real-time dashboards and user interfaces with React, Redux, TypeScript, and Splunk for robust monitoring and data visualization.

Developed AI-driven automation solutions using Prolog for logical inference and OpenAI Gym for reinforcement learning, optimizing intelligent decision-making processes.

Collaborated cross-functionally to define project roadmaps, optimize feature delivery, and implement comprehensive testing with Jest and Cypress to maintain code quality.

Designed and implemented MarkLogic-based solutions, focusing on optimizing data storage and retrieval processes.

Developed custom MarkLogic queries (XQuery, JavaScript) to support high-performance data manipulation and integration across systems.

Collaborated with the team to architect and deploy scalable, distributed systems using MarkLogic’s multi-model database capabilities.

Worked on integrating MarkLogic with other technologies such as Node.js and AWS for enhanced functionality and performance.

Assisted with troubleshooting and optimization of existing systems, improving data processing speed and reliability.

Ensured proper documentation and best practices for MarkLogic development, contributing to the team’s knowledge base.

Led the development of high-performance back-end applications using Python and Django, with a strong focus on scalability, security, and code maintainability.

Directed technical development for complex projects using Next.js, Nest.js, GraphQL, Apollo, Tailwind CSS, AWS, and PostgreSQL.

Enhanced system infrastructure by implementing Terraform to improve scalability, automation, and maintainability.

Established standardized CI/CD pipelines, accelerating deployment processes and ensuring reliability.

Built robust APIs with Nest.js and developed reusable UI components using React and TypeScript, supporting a variety of product features.

Developed responsive web applications using React, Redux, and Redux-Saga, delivering efficient state management and optimized user interfaces.

Built RESTful APIs with Python and Django, integrating Firebase for real-time data synchronization and seamless user authentication.

Enhanced database performance with Amazon RDS, implemented GraphQL for flexible data querying, and incorporated WebSocket for real-time functionality.

Collaborated with cross-functional teams to refine system architecture, ensuring scalability and robust performance under high-traffic conditions.

Spearheaded back-end development for a ride-hailing platform, optimizing real-time dispatch systems with Node.js and Express.js.

Designed and deployed RESTful APIs to facilitate seamless communication between core services and external partners.

Enhanced data handling and system performance by integrating PostgreSQL and MongoDB for high-volume transactions.

Established CI/CD pipelines to automate deployments, significantly reducing downtime and increasing operational reliability.

Worked collaboratively with stakeholders to improve system architecture and ensure peak performance during high-load scenarios.

Developed dynamic and interactive web applications using React.js, creating intuitive user interfaces.

Managed application state with Redux and implemented Redux-Saga for effective asynchronous operations.

Designed pixel-perfect, responsive layouts using Tailwind CSS, ensuring a consistent user experience across all devices.

Built reusable, modular UI components to enhance code maintainability and scalability.

Optimized user interactions and application performance by adhering to industry best practices.

Developed highly responsive web applications using React.js and Next.js for scalable and dynamic front ends.

Engineered back-end systems with PHP and Laravel, ensuring robust functionality and reliability.

Designed and implemented RESTful APIs to streamline communication between front-end and back-end systems.

Integrated real-time capabilities using WebSocket and optimized data management with PostgreSQL and MongoDB.

Deployed applications using AWS, Google Cloud, and Kubernetes, leveraging containerization for scalability and efficiency.