Open to opportunities

Krish Badgujar

@krishbadgujar

Computer Engineering student building privacy-preserving ML products and full-stack features with strong DSA fundamentals.

India

Message

What I'm looking for

I’m looking for an early-career role where I can build ML-driven, privacy-aware products, turn data into real user impact, and grow through strong engineering mentorship across model evaluation and product development.

I’m a B.Tech student in Computer Engineering (CGPA: 8.12/10) who enjoys turning data into usable, user-facing solutions. I build with a mix of strong fundamentals in Data Structures and Algorithms, Object-Oriented Programming, and Database Management Systems, and I enjoy implementing optimized algorithms in C++.

In my projects, I built a machine learning pipeline using XGBoost and CatBoost to predict purchase probabilities from e-commerce user behavior data while preserving user privacy through local processing. I also developed a Chrome extension that extracts product details and delivers real-time predictive insights, integrating Gemini AI for automated product comparison and sentiment-based analysis; for imbalanced datasets, I improved performance using SMOTE and optimized evaluation with F1-score and ROC-AUC. Alongside this, I worked on driver behavior analysis using clustering algorithms like KMeans, GMM, and DBSCAN with 78,000+ OBD-II telemetry windows, engineering 110+ features and creating risk scoring to identify high-risk patterns across 81 trips.

Experience

Work history, roles, and key accomplishments

B.Tech in Computer Engineering

Vishwakarma Institute of Information Technology

Jan 2022 - Jan 2026 (4 years)

Pursuing a B.Tech in Computer Engineering at VIIT, Pune (CGPA 8.12/10). Coursework and skills cover programming, data structures, databases, operating systems, and core ML tooling.

C++Python JavaScript SQL HTML CSS MySQL Git GitHub scikit learn Pandas XGBoost Feature Engineering Model Evaluation Data Structures Object Oriented Programming DataBase Systems Operating System

CBSE Class X

Podar International School

Jan 2020 - Present (6 years 6 months)

Completed CBSE Class X at Podar International School, Jalgaon (91%).

Driver Behaviour Analysis OBD-II

GitHub

Developed an unsupervised driver behavior analysis pipeline using clustering over 78,000+ OBD-II telemetry windows. Created driving context risk scoring by engineering 110+ telemetry features and combining clustering metrics with reconstruction error and anomaly/instability analysis.

K Means Unsupervised Learning Clustering Feature Engineering Sliding Window Extraction Reconstruction Error Anomaly Detection

E-commerce Analyzer Chrome Extension

GitHub

Built a Chrome extension and ML pipeline to predict e-commerce purchase probabilities from user behavior data using privacy-preserving local processing. Integrated Gemini AI for product comparison and sentiment-based analysis within the extension.

XGBoost CatBoost Chrome Extension development Gemini Sentiment Analysis Feature Engineering SMOTE F1 Score

Education

Degrees, certifications, and relevant coursework

Vishwakarma Institute of Information Technology

B.Tech, Computer Engineering

2022 - 2026

Grade: 8.12 / 10

Activities and societies: Machine learning and AI projects incl. XGBoost/CatBoost e-commerce analyzer (local privacy), Gemini-based product comparison, and driver behavior analysis using KMeans/GMM/DBSCAN on 78k+ OBD-II windows.

Pursuing a B.Tech in Computer Engineering at Vishwakarma Institute of Information Technology (VIIT) in Pune. Achieved a CGPA of 8.12/10.