- Cloud-Native Architecture: Designed and implemented scalable, cloud-native solutions for enterprise projects using AWS services including Fargate with ECS, and EKS and optimized microservices architecture to handle up to 10x traffic surges dynamically.- Decreased cloud infrastructure provisioning time through implementing Terraform scripts, resulting in faster deployment and increased productivity.- Accelerated software delivery through building and maintaining CI/CD pipelines with GitLab. Integrated automated testing and monitoring to ensure continuous delivery of high-quality software, boosting team productivity and reducing time-to-market.- Analyzed performance metrics to optimize resource utilization using Grafana and AWS Cloud Watch, leading to a 50% increase in application efficiency and enhancing system reliability.- Team Collaboration: Collaborated with cross-functional teams including developers, QA, and business stakeholders to deliver secure, cost-effective solutions on schedule.

RADWI is a smart product-based home automation startup and my work as a cloud software engineer was mainly but not limited to- Key contributor to the backend development of the internal payroll platform, primarily using Django, Python, and Firebase.- Developed and deployed a cloud-managed, cross-platform smart doorbell application using Kubernetes, microservices, and REST APIs. We enhanced database query performance by 400%.- Agile Practices: Practiced Agile methodologies (Scrum), performed code reviews, mentored junior engineers, and authored comprehensive documentation, resulting in improved team efficiency and project delivery times.- Primary tech stack used was AWS, Kotlin, Python, C, C++, Django, Firebase, Flutter, REST

Full-Stack Development: Designed, developed, and maintained end-to-end web and mobile applications using technologies such as Flutter, C, C++, JavaScript, Python, React, Firebase, and Node.js.- Client Collaboration: Worked closely with clients to understand their requirements, provided technical consultation, and delivered solutions that aligned with their business goals.- Problem Solving: Diagnosed and resolved complex software issues, optimized existing codebases, and implemented best practices to enhance performance and scalability.- Project Management: Managed the entire software development lifecycle from conceptualization to deployment, ensuring projects were delivered on time and within budget.- Continuous Learning: Stayed up-to-date with emerging technologies and trends, continuously refining my skillset to provide innovative and efficient solutions.

- Crop Weed Detection System: Developed a drone-based crop weed and health detection system using machine learning algorithms, reducing manual monitoring time by 90%. Implemented a mobile app interface for real-time monitoring and control.- Smart Parking Application: Designed a visual computing-based smart parking system utilizing Yolo, ResNet, and AWS Rekognition for real-time vehicle detection, mapping, counting, and data visualization on a user-friendly web interface. We also conducted extensive data pruning and visualization using R-Studio and Jupyter.

Organized the largest tech events Asia-wide such as - Google DevFest 2021- ACM Hackathons- Google Developers Group campus events.