Pioneering intelligent solutions at the intersection of machine learning, software engineering, and data science. Turning complex AI challenges into elegant, production-ready systems that deliver real-world impact.
About Me
I'm a versatile full-stack developer with expertise in machine learning and web development. I specialize in creating intelligent applications that combine modern frontend frameworks with powerful backends to transform complex data into intuitive user experiences.
Experience
Full Stack Developer Intern
Bigmac Consultancy
Led the development and maintenance of responsive web applications using front-end technologies like HTML, CSS, JavaScript, React, Node, Express, which significantly enhanced on both web and mobile platforms.
Integrated Restful APIs and back-end services with socket.io and Razor-pay for payment processing, incorporating advanced AI techniques with the Tiny Face model for fraud detection.
Conducted regular code reviews and enforced best practices ensuring high-quality code and performance across all layers of the application stack, which contributed to smoother operations and increased user trust in the application.
Technical Skills
A comprehensive overview of my technical expertise and proficiency levels
Languages Skills
Python
C++
JavaScript
SQL
Featured Projects
A collection of my most significant work showcasing my technical expertise and problem-solving abilities
Tour Travel Project
Developed a comprehensive travel management application using the MERN stack, which streamlined the booking process for various hotels and flights, allowing users to manage their travel arrangements in one place.
Fitness Tracking
Developed a web application using Flask that allows users to track their daily exercises and visualize their progress, which enhances their fitness journey.
Diabetes Detection
Developed a diabetes prediction model utilizing StandardScaler, achieving a test accuracy score of 76% and a training accuracy score of 77%, which established the model's reliability in predicting diabetes outcomes.
Spotify Backup
Developed a Python Flask application integrates with the Spotify API, allowing users to back up their playlists effectively.