Professional Overview
I am a Computer Science student with hands-on experience in Machine Learning, NLP, and Quantum Machine Learning (QML). During my internships at Nokia, I evaluated sentence embedding models for 3GPP document clustering, explored RF digital twin scenarios using NVIDIA Aerial Omniverse, and conducted wireless system modeling with NVIDIA Sionna. I’ve contributed to Kaggle competitions like AI text detection and survival predictions, achieving Top 40% ranks as a solo team. My academic projects include implementing and comparing Quantum Neural Networks and traditional ML models for Titanic survival prediction. I hold over 500+ hours of certified training in AI, Deep Learning, NLP, Data Science, and Quantum Computing from Coursera and IBM Cognitive Class. I’m passionate about delivering efficient, scalable AI solutions and have a strong foundation in Python, R, SQL, and modern ML frameworks like Hugging Face Transformers and Scikit-learn.