Garvit Sharma

As an AI Engineer based in Hoshiarpur, Punjab, I am a final-year Computer Science and Engineering student at GNA University with a CGPA of 8.8. My expertise lies in building scalable machine learning pipelines, deep learning architectures, and integrating Large Language Models (LLMs) into real-world applications. +2 Throughout my professional journey, I have demonstrated a strong ability to optimize complex systems: Scalable Machine Learning: During my internship at SystemStar, I reduced the computational workload by 90% by identifying similar patterns in time-series data, allowing the system to run on just 180 models instead of the original 33,000. AI Development & Automation: At Cyberyaan, I improved model accuracy by 15% and automated retraining processes using Airflow, saving the team 10 hours per week. Multimodal Systems: I have architected sophisticated projects like an Emotion Recognition System (achieving 85% accuracy) and an AI-Driven Fitness Coach that uses MediaPipe for real-time pose estimation and Groq LLM for personalized feedback. Technical Proficiency: My toolkit includes Python, Java, C++, and SQL, along with specialized libraries such as TensorFlow, Keras, PyTorch, OpenCV, and Scikit-Learn. I am passionate about bridging the gap between theoretical research and practical deployment, evidenced by my certifications in Machine Learning from DeepLearning.AI and Geodata Analysis from ISRO.