Professional Overview
I’m a Computer Science undergraduate with hands-on experience in machine learning, deep learning, and AI-driven solutions, backed by internships at Deloitte and SparrowRMS. I’ve built impactful projects ranging from predictive maintenance models (R² = 0.99) to LLM-powered audit systems and hybrid deep learning models achieving 97% accuracy. What sets me apart is my ability to go beyond standard implementations—I focus on optimizing models, solving real-world problems, and integrating modern AI tools like LLMs, RAG, and computer vision into practical applications.I also bring strong team leadership and collaboration skills, having led projects and worked in fast-paced environments, along with a mindset of continuous learning and experimentation.I’m particularly interested in remote opportunities where I can contribute to building intelligent, scalable systems while continuing to grow as an AI/ML engineer.