Aryan Grang

Aryan Grang is a final-year Computer Science student at Krea University, pursuing a minor in Data Science. He enjoys building technology-driven solutions to real-world problems, with experience spanning software engineering, data analytics, and machine learning.

During his internship at Borosil Limited, he collaborated with the marketing team to analyse influencer engagement metrics across Instagram and YouTube campaigns. He developed Excel-based dashboards to track campaign performance and identify creator-audience fit, supporting influencer shortlisting and contributing to an approximately 20% improvement in reach.

He currently serves as Tech Lead at TezBill, an early-stage startup, where he collaborates with two co-founders to develop an offline-first Android GST billing application for small retailers. He leads end-to-end engineering, including multi-tenant database architecture and GST 2.0 tax engine development, while also contributing to customer discovery, market research, and go-to-market initiatives. He has worked directly with retailers across Mumbai and helped onboard shops, with the application processing over 550 bills to date.

His independent projects include Fatigue AI, a full-stack machine learning application combining LSTM, XGBoost, and Gradient Boosting to explore footballer performance and injury-risk prediction, and Krea-Play, a cross-platform Flutter application he is developing to simplify campus sports bookings. He also has experience building backend services, mobile applications, and database-driven systems.

His technical skills include Python, Java, C++, SQL, Flutter, Dart, PyTorch, FastAPI, and machine learning frameworks. He is interested in full-time opportunities in data analytics, cybersecurity, software engineering, and machine learning, where he can apply his technical expertise, analytical thinking, and collaborative problem-solving skills.