Ujera Siheb Syed
@ujerasihebsyed
I am an AI-focused CS student skilled in ML, Python, and front-end development.
What I'm looking for
I am an AI-focused computer science student with hands-on experience in Python, machine learning, and modern web technologies. I combine a strong academic foundation with practical project work to build robust, user-focused solutions.
During a web-development internship I developed responsive applications — including a To-Do app and an API-driven weather site — applying clean UI design, DOM optimization and Git-based collaboration to deliver polished front-end experiences.
On the ML side, I designed a credit-card fraud detection pipeline using Scikit-learn, Pandas and NumPy, addressing class imbalance with SMOTE, applying PCA for dimensionality reduction, and optimizing models (SVM, Logistic Regression) with thorough evaluation using precision, recall, F1 and ROC-AUC.
I hold certifications in AWS cloud computing, practical machine learning, and Python, and earned elite recognition in an NPTEL course. I am eager to contribute to generative AI projects, open to flexible shifts and relocation, and motivated to learn and grow in production ML and cloud environments.
Experience
Work history, roles, and key accomplishments
Front-End Developer Intern
Code Tech IT Solutions
Apr 2024 - May 2024 (1 month)
Developed responsive To-Do List and Weather Forecasting web apps using HTML, CSS, JavaScript and OpenWeatherMap API, improving UX with mobile-first design and optimized front-end performance. Collaborated via Git for feature branching and merging to deliver features within the internship timeline.
Education
Degrees, certifications, and relevant coursework
Narasaraopeta Engineering College
Bachelor of Technology, Computer Science and Engineering (Artificial Intelligence)
Grade: 8.78 CGPA
Activities and societies: Internship at Code Tech IT Solutions (Apr–May 2024); academic project on credit card fraud detection; NPTEL Elite certification; won college-level throwball prize.
Completed B.Tech in Computer Science and Engineering (Artificial Intelligence) with 8.78 CGPA, graduated May 2025.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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