🚀 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 an edge inference system for real-time road safety analysis, utilizing machine learning algorithms to optimize the prioritization of road repairs. Integrated data-driven decision-making for community engagement and urban infrastructure management.

• Tech Stack: Python, Data Manipulation, Machine Learning, Firebase, Flutter, Git.

• 💡 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.