Work Experience

• Engineered an interactive React with TypeScript & TailwindCSS interface for AI-powered KYC verification, integrating OpenAI API with CrewAI and Hugging Face models for multimodal identity recognition and semantic similarity validation. Architected real-time facial guidance overlays for liveness detection (head turns, blinks) using synchronized vision inference streams, achieving a 35 % reduction in manual verification latency

• Designed and deployed a multi-layer liveness detection pipeline that seamlessly connects React-based vision modules to Python + FastAPI inference endpoints. Integrated Kafka for event-driven message brokering, Redis caching for low-latency identity checks, and WebSocket channels for real-time user feedback and fraud-detection loops—enabling millisecond-level synchronization between front-end motion tracking and back-end model validation.

• Collaborated with cross-functional teams to organize and lead AI, cloud, and web development workshops, emphasizing practical applications of Google technologies.

• Contributed to a group project, InternEase, by developing the front-end interface using React.js and implementing responsive design systems to enhance usability and scalability

• Engineered front-end prototypes integrating Google APIs such as Maps, Authentication, and Cloud Functions, demonstrating secure and real-time data workflows.

• Designed and implemented an AI-driven customer service chatbot by integrating GPT-3 with a Retrieval-Augmented Generation (RAG) pipeline, enabling context-aware and document-grounded responses for a web-based application.

• Engineered and deployed JavaScript testing stack—Cypress for browser E2E & Jest with React Testing Library for user-centric unit and component testing—cutting system errors by 30% and improving testing efficiency by 20%.

• This upgrade enhanced system performance and reliability by catching regressions early, streamlining the dev process,elevating overall product quality.

• Orchestrated project milestones leveraging, ReactJs + TanStack query, ExpressJs, NodeJs, MongoDB in a Test-Driven setting, delivering 25% faster iterations showcasing strong communication skills, cross-functional collaboration, and team collaboration

• Developed modular React and TypeScript applications using Redux Toolkit and TanStack Query, enhancing UI reactivity and cutting page latency by 25%, improving customer engagement across platforms. Constructed reusable UI component libraries aligned with Material UI standards, reducing front-end development effort and ensuring consistency across 6 core web modules.

• Integrated GraphQL APIs using Node.js and PostgreSQL, decreasing backend query latency by 20% and enabling scalable data flow for 10,000+ concurrent users. Partnered with design and product teams to enhance accessibility compliance, implementing lazy loading and dynamic routing that improved Lighthouse accessibility scores.

• Automated build and deployment pipelines with Docker, AWS EC2, and GitHub Actions, reducing deployment time by 40% and standardizing continuous delivery across multiple staging environments.

• Implemented comprehensive unit and integration testing using Jest and Cypress, achieving 92% code coverage and minimizing regression defects across major releases. Monitored and fine-tuned application performance using Prometheus and Grafana, maintaining 99.9% uptime and boosting response efficiency during growing traffic surges.

• Developed responsive web interfaces using React.js, Redux, and Tailwind CSS, enhancing UI responsiveness and increasing user engagement by 2x, which significantly improved client satisfaction scores.

• Optimized SQL schema and queries for efficient data retrieval, cutting query execution time by 25% and enhancing backend response under concurrent load conditions. Connected frontend and backend services using React Query and asynchronous request handling, reducing UI latency by 22% and improving real-time user experience.

• Established Jenkins-based CI/CD pipelines integrated with Docker and GitHub Actions, accelerating deployments by 50% and ensuring consistent build integrity. Conducted automated testing with JUnit, Jest, and Postman, lowering production bugs by 35% while ensuring API reliability across environments.

• Deployed microservices on Azure Kubernetes Service (AKS) via Helm, achieving 99.9% uptime and ensuring consistent high availability for client-critical applications.