Available to hire
I am a software engineer with five years of experience building scalable, cloud-native applications. I specialize in Java, Python, TypeScript, React, and Spring Boot and have hands-on experience deploying microservices and serverless solutions on AWS, Azure, and Kubernetes.
I design resilient REST and GraphQL APIs, optimize CI/CD pipelines, and improve performance through caching and asynchronous processing. I am passionate about DevOps, observability, and compliance with security standards, and I enjoy collaborating with cross-functional teams to deliver end-to-end solutions from architecture to production monitoring.
Skills
Experience Level
Expert
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Language
English
Fluent
Work Experience
Software Engineer at McKinsey & Company
January 1, 2025 - PresentDesigned and deployed microservices using Java 17, Spring Boot, and AWS Lambda integrated with Docker & Kubernetes (EKS), achieving 99.9% uptime and improving request throughput by 40%. Built end-to-end CI/CD pipelines in GitHub Actions and Terraform, incorporating SonarQube, Nexus, and OWASP checks, cutting deployment time from 4 hours to 40 minutes while ensuring secure, consistent releases. Developed interactive React, TypeScript and GraphQL client dashboards consuming serverless APIs via API Gateway and CloudFront, reducing page latency by 45% and enhancing UX performance scores. Implemented observability and monitoring stack with Prometheus, Grafana, CloudWatch, and ELK, enabling full-stack visibility and decreasing incident MTTR by 35%. Partnered with global product teams leveraging Agile (Scrum) and JIRA, Confluence collaboration tools to deliver data-driven insights features that improved client engagement by 18%. Drove cloud-cost optimization initiatives using AWS Budgets, Lam
Software Engineer at Capgemini
October 1, 2021 - December 1, 2023Engineered scalable REST APIs in Java (Spring Boot) hosted on Azure App Service and Kubernetes, optimizing thread-pooling and caching (Redis) to boost backend throughput by 25%. Developed modular React JS, Angular 14+ front-end components integrated with GraphQL and REST endpoints, improving maintainability and reducing UI defect rates by 30%. Automated continuous delivery pipelines via Azure DevOps, Jenkins, and GitHub Actions with Terraform and Docker, achieving 60% faster deployments and near-zero configuration drift. Enhanced monitoring and logging using Azure Application Insights, Log Analytics, and Splunk, proactively detecting anomalies and improving production reliability by 33%. Implemented robust TDD/BDD frameworks with JUnit 5, Mockito, Selenium, and Cypress, attaining 85% code coverage and reducing post-release defects by 35%. Coordinated with cross-regional stakeholders under Agile (Scrum) processes to align deliverables with compliance standards for enterprise clients.
Software Engineer at CueTech Systems
June 1, 2019 - September 1, 2021Assisted in developing web applications using Java, Spring Boot, and React JS, helping improve system stability and user experience across telecom and e-commerce projects. Wrote and maintained REST APIs and connected them with PostgreSQL and MongoDB databases for smooth data exchange between backend and frontend. Supported migration of older code into microservices using Spring Cloud and Docker, which made deployments easier and faster for the team. Helped create CI/CD pipelines in Jenkins and Git, reducing manual deployment time and improving version control across environments. Fixed bugs, optimized queries, and improved code quality through JUnit testing and peer code reviews, increasing reliability of releases.
Software Engineer at McKinsey & Company
June 1, 2015 - PresentDesigned and deployed microservices using Java 17, Spring Boot, and AWS Lambda integrated with Docker & Kubernetes (EKS), achieving 99.9% uptime and improving request throughput by 40%. Built end-to-end CI/CD pipelines in GitHub Actions and Terraform, incorporating SonarQube, Nexus, and OWASP checks, cutting deployment time from 4 hours to 40 minutes while ensuring secure, consistent releases. Developed interactive React, TypeScript and GraphQL client dashboards consuming serverless APIs via API Gateway and CloudFront, reducing page latency by 45% and enhancing UX performance scores. Implemented observability and monitoring stack with Prometheus, Grafana, CloudWatch, and ELK, enabling full-stack visibility and decreasing incident MTTR by 35%. Partnered with global product teams leveraging Agile (Scrum) and JIRA, Confluence collaboration tools to deliver data-driven insights features that improved client engagement by 18%. Drove cloud-cost optimization initiatives using AWS Budgets, Lam
Education
Master’s degree in Information Technology and Management at Concordia University
January 11, 2030 - December 2, 2025Master’s degree in Information Technology and Management at Concordia University
January 11, 2030 - December 8, 2025Master’s degree in Information Technology and Management at Concordia University
January 11, 2030 - December 8, 2025Master’s degree in Information Technology and Management at Concordia University
January 11, 2030 - December 22, 2025Qualifications
Google Cloud – Associate Cloud Engineer
January 11, 2030 - December 2, 2025Google Cloud – Associate Cloud Engineer
January 11, 2030 - December 8, 2025Google Cloud – Associate Cloud Engineer
January 11, 2030 - December 8, 2025Associate Cloud Engineer
January 11, 2030 - December 22, 2025Industry Experience
Software & Internet, Professional Services, Media & Entertainment, Other
Skills
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Expert
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