Professional Overview
Computer Systems Engineering graduate with experience in full-stack development, AI, and data analysis. Skilled in React, Next.js, Node.js, JavaScript, TypeScript, Python, SQL, and PostgreSQL. Passionate about building scalable applications, solving problems, and continuously learning new technologies.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built a Google Drive-inspired collaborative document editor.
- Developed full-stack features using Next.js and React.
- Designed database models and backend APIs.
- Implemented authentication and document management.
- Optimized performance and responsive user experience.
Key Achievements / KPIs
- Delivered a complete end-to-end full-stack application.
- Applied modern software architecture and best practices.
- Built scalable CRUD operations and API integrations.
- Successfully completed the project within the assignment timeline.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built an Iris flower classification model using Python and Scikit-learn.
- Developed a handwritten digit recognition project using machine learning.
- Created an image-to-pencil sketch application with OpenCV.
- Built a rule-based chatbot using Python.
- Tested and improved model performance using real datasets.
Key Achievements / KPIs
- Successfully completed four end-to-end machine learning projects.
- Applied Python, Scikit-learn, and OpenCV to real-world problems.
- Strengthened skills in computer vision and predictive modeling.
- Delivered all assigned internship projects on schedule.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
