Shaik arif
@shaikarif1
Full-stack developer and machine learning enthusiast building scalable web apps and predictive models.
What I'm looking for
I’m a Computer Science (AI & DS) graduate with hands-on experience in full-stack web development and machine learning. I build scalable MERN stack applications and develop predictive machine learning models using Python, with a focus on data structures, algorithms, and RESTful APIs.
In my Full Stack Developer Intern role at Trangla Innovations Pvt.Ltd, I engineered modular, responsive UI components using React.js and Tailwind CSS, improving code reusability and speeding up feature development. I also integrated REST APIs and handled asynchronous data fetching to improve application performance and user experience.
My projects reflect my drive to solve real-world problems through technology, including a Rainfall Prediction System using Gradient Boosting, and a Liver Disease Prediction System using patient datasets with data preprocessing, training, and evaluation. I also built an end-to-end ML application with Python, Scikit-learn, and Flask, including an interface for real-time prediction.
Experience
Work history, roles, and key accomplishments
Full Stack Developer Intern
Trangla Innovations Pvt Ltd
Jun 2025 - Nov 2025 (5 months)
Built modular, responsive React and Tailwind UI components and integrated REST APIs with asynchronous data fetching. Improved code reusability and application performance while developing predictive features using ML.
Machine Learning Intern
SmartBridge Educational Services Pvt Ltd
Jun 2024 - Dec 2024 (6 months)
Completed a 240-hour long-term machine learning internship, building end-to-end Python/Scikit-learn models and Flask-based applications for disease and weather prediction. Performed data preprocessing, training, evaluation, and hyperparameter tuning to improve prediction reliability.
Education
Degrees, certifications, and relevant coursework
Kallam Haranadhareddy Institute of Technology
Bachelor of Technology (B.Tech), Computer Science (AI & DS)
2021 - 2025
Grade: CGPA: 7.6
Pursued a B.Tech in Computer Science (AI & DS), achieving a CGPA of 7.6. Completed coursework and projects aligned to AI/DS and full-stack development.
Narayana Junior College
Class XII
2019 - 2021
Grade: Percentage: 62.5%
Completed Class XII and scored 62.5%.
Jain High School
Class X
2017 - 2019
Grade: CGPA: 9.5
Completed Class X and scored a CGPA of 9.5.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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