🚀 Backend Developer | 🌐 Cloud Enthusiast | 🤖 IoT Innovator
Dynamic and results-driven Computer Engineering student with expertise in IoT application development, cloud-based solutions, and cutting-edge technologies such as computer vision, video analytics, and edge inference/ML. Proficient in Python, PowerShell, and AWS. Skilled in customer-facing roles, technical consulting, and delivering scalable solutions across industries, including manufacturing and railway safety.
- 🌱 Learning: DSA with Java, System Design.
- 🎓 Certifications: AWS, Docker, Kubernetes, Terraform, Python.
- 💬 Ask Me About: Python, Django, IoT, and Cloud Computing.
Description: An IoT-based safety platform focusing on sensor integration, real-time data processing, and communication to enhance railway safety. The system enabled real-time monitoring and incident reporting for track safety and level crossing security.
- Tech Stack: Python, Django, PHP, MySQL, IoT, Git.
Description: Designed a machine learning system to detect user emotions through camera images, recommending songs based on real-time emotion recognition. Integrated the Spotify API to provide personalized song recommendations, demonstrating expertise in AI and ML for user-centric applications.
- Tech Stack: Python, Data Manipulation, Machine Learning, Streamlit, Git.
Description: Developed a Dockerized 2048 game application and deployed it on AWS Elastic Beanstalk. This project demonstrates containerization and cloud deployment practices.
- Tech Stack: Docker, AWS Elastic Beanstalk.
Description: The DevSecOps Netflix Clone Application combines secure development, containerization, orchestration, and monitoring to demonstrate the principles of DevSecOps. The project leverages AWS services, Kubernetes, and CI/CD pipelines to create a scalable and secure streaming platform.
- Tech Stack: Docker, Kubernetes (AWS EKS), Jenkins, SonarQube, Trivy, Prometheus, Grafana, ArgoCD, AWS (EKS, ELB).
- 💡 I love solving puzzles and optimizing workflows.
- 🎵 Music enthusiast with a knack for emotion-based song recommendations.
- 🌍 Eager to contribute to open-source projects and learn from the community.