My Experience

Frontend Engineering Intern

Edunet

• Completed a 6-week, project-based internship leveraging IBM SkillsBuild; delivered a production-quality front-end prototype with weekly mentor reviews.
• Built an independent project end-to-end: framed the problem, designed UI flows, and implemented features; unblocked via structured Q&A and tech check-ins.
• Practiced iterative development: scoped weekly milestones, tracked risks, and shipped a final demo and presentation deck on schedule.
• Strengthened HTML/CSS/JS and professional skills; applied learnings directly to the project to improve performance and accessibility.
• Followed a structured plan: Week 1 onboarding; Weeks 2–4 technical sessions + mentor-led query resolution; Week 5 project wrap + deck; Week 6 submission.

Web Development & SEO Intern

Badakarobar

• Engineered and deployed dynamic landing pages using HTML5, Tailwind CSS, JavaScript, and Jinja templates, achieving a 45% boost in loading speed (LCP).
• Implemented responsive design principles and accessibility standards (WCAG 2.1), ensuring seamless cross-device user experience.
• Integrated schema markup and optimized content structure, driving a 2.5x increase in organic reach and top-10 SERP positions.
• Automated sitemap generation and SEO audit workflows using Python, reducing SEO maintenance time by 60%.
• Collaborated with the SEO team to align technical improvements with keyword strategy and traffic analytics (GSC, GA4).

Software Engineering Virtual Experience

Accenture

• Developed scalable Java classes within Spring MVC to implement core search functionality, aligning with SOLID principles.
• Refactored legacy modules into DRY-compliant utilities, streamlining codebase maintenance and enhancing readability.
• Built a Jenkins-based CI pipeline to trigger unit tests and builds on every PR, reducing production defects by 60%.
• Created Agile user stories and acceptance criteria to simulate real-world sprint cycles and collaborative development planning.

AI & Machine Learning Intern

YBI Foundation

Designed and implemented advanced ML pipelines using Scikit-learn, TensorFlow, and HuggingFace transformers.

• Movie Recommender System using collaborative filtering
• BERT-based Sentiment Analysis for financial news
• Luxury Price Prediction Model using regression and XGBoost
• Text Classification for women's clothing reviews
• Built a Housing Price Prediction model and an interactive Sales Dashboard using Pandas, Matplotlib, and Seaborn for business insights.

Web Development Intern

InternPedia

• Developed responsive UIs and client-side components using HTML, CSS, and JavaScript with real-time feedback loops.
• Converted Figma wireframes to fully functional web pages using Bootstrap and vanilla JS, ensuring design fidelity.
• Implemented web accessibility best practices and optimized UI performance for low-bandwidth environments.