📧 akhilrathour45@gmail.com • 📱 +91 8860846366 • 🔗 LinkedIn • 💻 GitHub

B.Tech in Information Technology
National Institute of Technology, Kurukshetra
📅 Aug 2023 – Present

Languages: C/C++, Python, Java, JavaScript
Frameworks: TensorFlow, PyTorch, Scikit-Learn, React.js, Express.js, Django (Python)
Databases: SQL
APIs & Libraries: OpenGL, NumPy, Pandas, Matplotlib
Technologies: Machine Learning, Deep Learning, Computer Graphics, TensorFlow.js, OpenGL, PyTorch

• 🛡 Built a liveness detection model to protect face recognition from spoof attacks.
• 🧠 Trained a deep learning model using TensorFlow, improving predictive accuracy.
• 🧹 Optimized preprocessing techniques, reducing data cleaning time by 15%.
• 🤝 Collaborated with a cross-functional team to improve model inference pipeline.

• 👥 Part of a 30-member team, leading event coordination with speakers.
• 🔧 Gained experience in leadership, time management, and coordination.

• 🌌 Built a real-time gravity simulation using OpenGL.
• 🌍 Simulates celestial motion with gravitational physics and collision dynamics.
• 📐 Implemented Newtonian physics equations to model orbital motion and attraction.

• 🧠 Developed a deep learning-based liveness detection model using TensorFlow.
• ⚙️ Deployed using TensorFlow.js for real-time browser inference.
• 📱 Optimized for low-end devices by reducing overhead and improving speed by 15%.
• 📦 Quantization reduced model size by 30% while maintaining accuracy.

• 🤖 Developed in C++ using the Minimax algorithm for AI-based move prediction.
• 🏆 Created an unbeatable AI with recursive logic and best-move evaluation.
• 🖥 Interactive console-based UI for real-time gameplay.