Senior Full-Stack Engineer at McKinsey & Company

• Architected and led the end-to-end development of a secure, scalable web platform using React.js, Node.js, and TypeScript, enabling seamless integration of AI-powered security features for enterprise clients. • Spearheaded the migration of legacy monolithic applications to a microservices architecture utilizing Docker, Kubernetes, and AWS, resulting in a 40% improvement in deployment efficiency and system reliability. • Designed and implemented robust authentication and authorization flows with OAuth2, JWT, and API Security best practices, significantly reducing security vulnerabilities across multiple client projects. • Developed and optimized RESTful and GraphQL APIs, leveraging PostgreSQL and MongoDB for high-performance data storage and retrieval, supporting millions of monthly active users. • Automated infrastructure provisioning and management with Terraform and GitHub Actions, streamlining CI/CD pipelines and reducing manual deployment errors by 60%. • Integrated advanced monitoring and alerting solutions using Sentry and Datadog to proactively identify and resolve production issues, improving system uptime and user satisfaction. • Collaborated with cross-functional teams to deliver new features in an agile environment, utilizing Next.js for server-side rendering and enhanced SEO performance. • Led the adoption of Jest and Cypress for comprehensive unit and end-to-end testing, increasing code coverage to 95% and reducing post-release defects. • Orchestrated secure secrets management and environment configuration for cloud-native applications, adhering to industry best practices and compliance requirements. • Conducted regular security audits and penetration testing, leveraging OWASP guidelines to identify and remediate critical vulnerabilities. • Mentored junior engineers in advanced JavaScript and TypeScript patterns, fostering a culture of technical excellence and continuous learning. • Drove the implementation of feature flags and A/B testing frameworks to enable rapid experimentation and data-driven decision-making. • Optimized database queries and indexing strategies in PostgreSQL and MongoDB, achieving a 30% reduction in average response times for high-traffic endpoints. • Championed the use of infrastructure-as-code and container orchestration, enabling rapid scaling and disaster recovery for mission-critical applications. • Designed and delivered a project leveraging AI-driven anomaly detection for security event monitoring, integrating creative ideas for real-time threat response and automated incident escalation. • Partnered with product managers and UX designers to translate business requirements into technical solutions, ensuring alignment with client goals and timelines. • Evaluated and integrated emerging technologies such as serverless functions and edge computing to future-proof client architectures and enhance system resilience.

Full-stack Engineer at Oppenheimer & Co. Inc

• Assisted in developing full stack web applications using React.js and Node.js, contributing to the delivery of secure and scalable solutions for financial data analysis. • Implemented RESTful APIs with Express.js and TypeScript, enabling seamless integration between front-end and back-end systems for real-time transaction processing. • Supported the migration of on-premises applications to AWS cloud infrastructure, leveraging Docker containers to improve deployment consistency and scalability. • Collaborated with senior engineers to integrate OAuth2 and JWT authentication mechanisms, enhancing security for sensitive client data. • Participated in the optimization of MongoDB queries and data models, resulting in faster data retrieval and improved application performance. • Contributed to the adoption of Redux for state management in complex front-end applications, streamlining user experience and reducing bugs. • Wrote unit and integration tests with Jest, increasing code reliability and supporting continuous delivery workflows. • Assisted in troubleshooting production issues and deploying hotfixes, ensuring minimal downtime for critical financial applications. • Documented API endpoints and technical workflows, improving onboarding and knowledge sharing within the engineering team. • Engaged in regular code reviews and pair programming sessions to learn best practices in TypeScript and Node.js development. • Developed a proof-of-concept project using React.js and Node.js to visualize financial trends, bringing a creative data visualization idea to the team and integrating it into a client demo. • Supported the integration of third-party APIs for market data, expanding the platform's capabilities and enhancing client offerings.

Senior Full Stack Engineer at McKinsey & Company

Architected and led the end-to-end development of a secure, scalable web platform using React.js, Node.js, and TypeScript, enabling seamless integration of AI-powered security features for enterprise clients. Migrated legacy monolithic applications to a microservices architecture utilizing Docker, Kubernetes, and AWS, resulting in a 40% improvement in deployment efficiency and system reliability. Designed and implemented robust authentication and authorization flows with OAuth2 and JWT; developed and optimized RESTful and GraphQL APIs using PostgreSQL and MongoDB for high-traffic data access. Automated infrastructure provisioning and management with Terraform and GitHub Actions, streamlining CI/CD pipelines and reducing manual deployment errors by 60%. Integrated advanced monitoring with Sentry and Datadog to proactively identify and resolve production issues, improving uptime and user satisfaction. Collaborated with cross-functional teams to deliver features using Next.js for server-s