About Me
Full Stack Developer with 2+ years of experience building scalable web applications and APIs across front-end and back-end layers. Experienced in developing backend services using Python and familiar with .NET (C#), alon…
Full Stack Developer with 2+ years of experience building scalable web applications and APIs across front-end and back-end layers. Experienced in developing backend services using Python and familiar with .NET (C#), along with front-end development using JavaScript frameworks. Skilled in REST API development, database design (SQL), and deploying applications in cloud environments. Passionate about learning modern technologies like Angular, Azure, and microservices architecture to build enterprise-grade solutions.
Experience
Software Developer (Remote)
Developed backend services and APIs using Python, following modular and scalable architecture.
Designed and optimized SQL database queries for application performance.
Built and integrated RESTful APIs for communication between front-end and back-end systems.
Collaborated with frontend developers to deliver end-to-end web application features.
Participated in debugging, testing, and improving application performance.
Followed clean code practices and version control using Git.
Software Developer
Developed backend services and APIs using Python, following modular and scalable architecture., Designed and optimized SQL database queries for application performance., Built and integrated RESTful APIs for communication between front-end and back-end systems., Collaborated with frontend developers to deliver end-to-end web application features., Participated in debugging, testing, and improving application performance., Followed clean code practices and version control using Git.
Computer Vision Intern
Built object detection models using YOLO, OpenCV, TensorFlow/PyTorch.
Performed data preprocessing and real-time detection.
Computer Vision Intern
Built object detection models using YOLO, OpenCV, TensorFlow/PyTorch., Performed data preprocessing and real-time detection.
Machine Learning Intern
Developed sentiment analysis model (~85% accuracy).
Implemented ML algorithms using Python.
Machine Learning Intern
Developed sentiment analysis model (~85% accuracy)., Implemented ML algorithms using Python.
PROJECTS
Parking Space Detection System
Developed a real-time parking availability detection system using image processing and classification techniques.Implemented computer vision algorithms to detect empty parking slots under varying lighting conditions.Improved detection accuracy through preprocessing and model optimization.
Smart Retail Shelf Monitoring System
Developed an AI-based retail shelf monitoring system using YOLOv8 for real-time product detection and object counting.Implemented computer vision techniques with OpenCV and Python to improve inventory visibility and reduce stock management issues.Performed data preprocessing, model training, and evaluation for accurate detection performance.