Pawan Rai
Full-Stack Developer · ML Engineer · AI Automation · Data Analytics
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About
I see problems in three dimensions — rotating the challenge to find angles others miss. CSE undergraduate with 4+ internships, a published research paper at a national conference, and real products in production: a live revenue-generating web app with Razorpay integration, ML pipelines hitting 85%+ accuracy, and multi-LLM agentic workflows built from scratch. I don't just write code — I close the loop from data to model to user.
Open to Full-Stack AI Engineer, ML Engineer, Data Analytics, or AI Automation roles.
Experience
Cloud Engineering Intern - Wipro - GDC, Gurgaon · On-site
(2026-07)
- Currently working as a full-time on-site intern at Wipro's Global Delivery Center (GDC), contributing to live engineering projects and gaining hands-on exposure to enterprise-scale cloud and software development practices.
- Collaborating with cross-functional teams on development, testing, and deployment workflows, applying Git-based version control in a production environment.
Data Science Intern - SkillCraft Technology - Remote
(2025-07)
- Accelerated insight turnaround across 4 real-world datasets by engineering end-to-end data pipelines — cleaning, EDA, and feature engineering in Python, Pandas, and Scikit-learn — cutting manual analysis effort by ~60% per dataset cycle.
- Produced visual analytical reports using Matplotlib and Seaborn, identifying behavioral patterns across titanic survival, iris classification, and traffic datasets that directly informed downstream feature selection.
AI / ML Intern - Edunet Foundation – AICTE - Remote
(2025-06 - 2025-07)
- Deployed production salary prediction model achieving 85%+ accuracy by benchmarking Linear Regression, Random Forest, and Gradient Boosting via k-fold cross-validation; evaluated with R-squared, RMSE, and MAE.
- Delivered full EDA with Seaborn visualizations enabling clear interpretation of salary drivers across experience, education, and role.
- Documented model performance comparison report with visual charts — enabling non-technical stakeholders to interpret salary drivers.
Education
B.Tech - Computer Science and Engineering - DSMNRU, Lucknow (2027)
Class XII - CBSE - DAV Public School, Kailash Hills, New Delhi (2022)
Class X - CBSE - DAV Public School, Kailash Hills, New Delhi (2020)
