Summary
Anubhav Saxena is a computer scientist with 11 years of hands-on experience in software development, machine learning, and Android security, currently pursuing an M.Tech at BITS Pilani. He has built practical ML projects—from diabetes classification and housing price prediction to COVID-19 air-traffic analysis—and has applied hybrid NLP techniques for threat detection in his undergraduate capstone. His early work includes automated obfuscation techniques for Android apps and a consumer-facing weather app integrating OpenWeatherMap and Google Maps. Comfortable across Python, NLTK, XGBoost and Android tooling, he blends academic rigor with applied engineering to deliver reproducible models and tools. Actively seeking full-time roles in Python software development or data science, he brings a mix of research-minded problem solving and production-oriented implementation experience.
11 years of coding experience
B.TECH, Computer Science And Engineering, B.TECH, Computer Science And Engineering at National Institute of Technology Silchar
English, Hindi