// @R1NCwasUnavailable
CS undergrad building ML systems that go all the way — from raw data to deployed product.
// KIIT Bhubaneswar · graduating 2027 · open to internships w/ PPO
End-to-end ML pipeline on the UCI credit card dataset. Data preprocessing → SMOTE oversampling for class imbalance → Optuna hyperparameter tuning → multi-classifier training → SHAP explainability. The kind of pipeline you'd actually find at a fintech company.
Full-stack sentiment classification app. TF-IDF logistic regression trained on 50k IMDb reviews, served via a Flask REST API with a responsive frontend. Clean end-to-end ML deployment.
Complete ML pipeline predicting churn on a 7,000+ record Telco dataset. Deployed as a Flask web app for real-time predictions. Includes full feature preprocessing with ColumnTransformer.
Repurposed a physical machine into a production-grade Ubuntu server — self-hosting game servers, private cloud storage, and media streaming. Ran distributed computing experiments on workload distribution, resource utilization, and fault tolerance. Handles all monitoring, backups, and uptime solo.
Cleaned and structured student lead data from multiple sources to support data-driven lead generation. Performed EDA to surface trends in engagement and conversion behavior. Maintained dashboards to help internal teams prioritize high-potential leads.
Built and maintained custom bots for multiple community servers in Python and JavaScript — moderation, role management, automated giveaways, music bots. Managed live deployments, debugged production issues, and iterated on real user feedback.
Languages
ML / Data
Web / Backend
DevOps / Cloud
Actively looking for internships — ML, backend, full-stack, anything with a hard problem. PPO preferred. If you're building something cool, let's talk.
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