Computer Engineering Undergraduate (TIET Patiala '27)
Passionate about Software Engineering, Machine Learning, Telemetry Simulation, and Game Analytics.

I am a results-driven Computer Engineering student at Thapar Institute of Engineering and Technology (TIET) with a strong foundation in building data-driven full-stack applications, interactive telemetry simulators, and machine learning pipelines.

• 🎓 Education: B.E. in Computer Engineering (2023 - 2027)
• 🧠 Focus Areas: Object-Oriented Programming (OOP), Data Structures & Algorithms, REST APIs, and automation.
• 🏆 Credentials: Globally ranked Kaggle Expert (Datasets & Notebooks), NVIDIA Certified in Deep Learning.
• ⚡ Fun Fact: I love digging deep into gaming telemetry and metrics, translating raw player behavior logs into churn-prediction engines.

Full-stack control room dashboard that monitors industrial telemetry and predicts equipment faults.

• Tech Stack: Next.js, TypeScript, Tailwind CSS, Recharts, React Hooks, CI/CD (GitHub Actions / Vercel)
• Telemetry Engine: Simulated live sensor streams (Temperature, Pressure, Vibration) and automated threshold-crossing alerts.
• RUL Engine: Calculated Remaining Useful Life (RUL) of machine units utilizing historical failure intervals for predictive maintenance.
• Visual Analytics: Interactive dashboards displaying fleet downtime, repairs cost, and fault distribution charts.

End-to-end Machine Learning pipeline and API validating player retention telemetry.

• Tech Stack: Python, Flask, Scikit-Learn, Pandas, Random Forest Classifier, REST APIs
• Predictive Accuracy: Deployed model predicting user churn for 90,000+ mobile game users at 86.8% accuracy.
• Automated Pipeline: Formulated data ingestion, cleaning, feature engineering, and inference REST API scripts in Python.
• Retention Insight: Analyzed key retention drivers, identifying A/B testing thresholds like game gate placements.

Highly responsive API-driven frontend dashboard demonstrating clean asynchronous execution.

• Tech Stack: JavaScript (ES6+), REST APIs (OpenWeather), HTML5/CSS3, DOM Manipulation
• Robust Client Integration: Designed with strict promise handling, custom local preferences caching, and custom fallback error flows for edge cases.

• 🌐 Kaggle Expert: Consistently competed on datasets and notebook validations, ranking in the top tier globally (80%+ towards Master).
• 🧠 NVIDIA DLI Certified: Certified by the NVIDIA Deep Learning Institute in Fundamentals of Deep Learning.
• 🎯 DSA Solver: Solved 200+ complex challenges across competitive coding platforms, honing OOP and logical structures.