Led the migration of a monolithic e-commerce platform to AWS, streamlining infrastructure and reducing downtime by 30%. Successfully implemented cloud-native solutions to enhance system scalability, reliability, and performance. Coordinated with cross-functional teams to ensure a seamless transition, optimizing application performance and reducing operational costs. Leveraged AWS services such as EC2, S3, and RDS to improve data handling, storage, and processing efficiency.

Designed and implemented an efficient CI/CD pipeline using Jenkins and Docker to automate the software delivery process, reducing deployment time by 50%. Integrated automated testing, continuous integration, and continuous deployment into the workflow, improving code quality and accelerating release cycles. Optimized containerization using Docker for consistent and scalable deployment across multiple environments, ensuring smooth transitions from development to production. Collaborated with development and operations teams to ensure seamless integration and faster delivery of new features.

Developed a highly scalable serverless data processing system using AWS Lambda and S3, handling millions of records daily with minimal latency. Leveraged AWS Lambda to automatically process and analyze incoming data, ensuring efficient and cost-effective operations without the need for dedicated server infrastructure. Implemented S3 for secure and scalable data storage, while utilizing event-driven triggers to initiate processing workflows. Optimized the system to handle large volumes of data seamlessly, reducing operational overhead and improving data processing speed and reliability.

Designed and implemented a centralized logging and monitoring solution using AWS CloudTrail, CloudWatch, and Splunk to provide real-time visibility into system performance and security. Integrated CloudTrail for comprehensive logging of API calls across AWS services, ensuring full auditability and compliance. Utilized CloudWatch for monitoring resource utilization and application performance, setting up custom alarms and automated responses to incidents. Integrated Splunk for advanced data analysis and visualization, enabling proactive troubleshooting, improving system reliability, and ensuring the timely detection of potential security threats.

Developed a hybrid machine learning model for Cardio-vascular disease prediction using Machine learning algorithms like Linear Regression, Decision Trees, Random Forest, and KNN. The dataset, sourced from Kaggle, was preprocessed and scaled before training models. A Voting Classifier was implemented to combine predictions, enhancing accuracy. The project demonstrated the effectiveness of ensemble methods in healthcare prediction.

Developed a full-stack e-commerce web application as part of an internship program. Built a responsive frontend using React, enabling users to browse products, manage carts, and place orders. Implemented a RESTful backend with Node.js and Express to handle authentication, product management, and order processing. Used MongoDB for efficient data storage and retrieval. Focused on clean API design, secure user authentication, and scalable architecture.

📍 Toronto, CA | 🕒 Nov 2021 – Present Designed and implemented AWS Organizations and Control Tower for scalable multi-account structures. Developed Service Control Policies (SCPs) for security and compliance. Integrated AWS Security services like AWS Config, CloudTrail, GuardDuty, and Security Hub. Responsibilities: • Designed and implemented AWS Organizations and Control Tower for scalable multi-account structures • Developed Service Control Policies (SCPs) for security and compliance • Integrated AWS Security services like AWS Config, CloudTrail, GuardDuty, and Security Hub • Automated infrastructure provisioning using Terraform and AWS CloudFormation • Designed CI/CD pipelines with GitHub Actions and Jenkins for multi-account deployments • Implemented centralized logging and monitoring using AWS CloudTrail, CloudWatch, and Splunk • Hardened web applications with AWS WAF and Azure Application Gateway • Conducted performance optimization and cost management using AWS Cost Explorer and Budgets • Containerized a fitness coach application and deployed it on Kubernetes with HPA and VPA auto-scaling, supporting both stateful and stateless workloads

📍 Kathmandu, NP | 🕒 Oct 2019 – Oct 2021 Designed and implemented secure, scalable cloud architectures using AWS services. Automated infrastructure provisioning and established CI/CD pipelines. Responsibilities: • Designed and implemented secure, scalable cloud architectures using AWS services • Automated infrastructure provisioning using Terraform and AWS CloudFormation • Set up centralized logging using ELK Stack and AWS CloudWatch • Established CI/CD pipelines using Jenkins for infrastructure deployment • Migrated servers and databases from on-premises to AWS using AWS Migration Services • Automated ML model deployment using Kubeflow, MLflow, and SageMaker Pipelines

📍 Butwal-19, NP | 🕒 April 2020 - Jan 2021 Participated in the USAID Project for Rural Schools, where I taught computer science and coding to government school children, enhancing their digital literacy and technical skills. Responsibilities: • Taught computer science and coding to government school children, enhancing their digital literacy and technical skills • Helped students to make most out of their Graduating Year of the secondary schooling • Provided personalized support to ensure students grasp key concepts and thrive in coding • Created engaging, interactive learning experiences that inspire students to apply their skills in real-world scenarios • Promoted a collaborative and growth-oriented classroom environment