Aspiring Machine Learning Engineer. B.E. AI & ML at Mysore University · GPA 9.44/10 · recently shipped a production-ready Customer Churn Intelligence System with LightGBM and Streamlit.

"Building cool stuff, one algorithm at a time."
Abhishek Rai A, a B.E. AI & ML student at Mysore University School of Engineering, in my fifth semester with a 9.44/10 average GPA. Originally from Mangalore, now in Mysuru.
I find patterns in mathematics and elegance in algorithms. I speak Tulu (mother tongue), Kannada, Hindi and English. I recently finished a 4-week, roughly 120-hour Core AI & ML internship at Bluemind Solutions Pvt. Ltd. (Aug to Sep 2026). My capstone there was a leak-free Customer Churn Intelligence System on IBM Telco data.
I compared Logistic Regression, Random Forest, XGBoost and LightGBM, tuned the decision threshold for business cost, added SHAP-style analysis, and shipped a live Streamlit dashboard. LightGBM reached 0.849 CV ROC-AUC and 82% recall on churners, with an estimated ~$179k in annual recoverable revenue. One Piece bias included.
Bluemind Solutions capstone: leak-free tabular ML, business threshold tuning, and a live Streamlit dashboard on IBM Telco data.
Ongoing certification through DRISHTI CPS (IIT Indore): ML fundamentals, workflows and applied AI.
Learning the next layer of ML engineering on purpose: model serving and deep learning fundamentals. I'm not claiming production experience yet.
The tools I lean on most are AI/ML and the math behind it. For web stuff (HTML/CSS/JS/React) I vibe-code with AI as a copilot, and my real focus stays on the algorithms.
Not hardcoded. This is pulled live from the GitHub API every 10 minutes, so it's what I actually shipped.
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01 / 09 · Customer Churn Intelligence System
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