Who Am I ?
I am a curious explorer in the field of Natural Language Processing and Quantum Computing. Over the past two years, my research works spanned over text generation and classification using pretrained transformer models. I am currently a Research Intern at Center For Computational and Data Sciences Lab (https://ccds.ai/people/interns-part-time-research-assistant/). My interest is to work in several topics like Multimodal Machine Learning , Quantum Unconstrained Binary Optimization (algorithms for combinatorial optimization) and Quantum Machine Learning. Currently, I am working on Quantum Transformer Models and Quantum Machine Learning.
Trainings:
I have several learning and hands-on-experience in Quantum Computing as a beginner.
Graduate of The Coding School's a year long (2 semesters) initiative titled An Introduction to Quantum Computing (https://www.qubitbyqubit.org/programs)
Womanium Quantum + AI Scholar 2024
QWorld's QClass Program 2024/2025 (https://qworld.net/qclass24-25/)
IBM Qiskit Global Summer School 2024 : Path to Utility
Tools I use:
Statistical Analysis and Data visualization: Numpy, Pandas, Scikit-Learn, Pytorch, Tensorflow, Seaborn, Matplotlib
for LLMs: SentenceTransformers, Gensim, Hugging Face Transformers, FastText
for QC: Qiskit, Pennylane, Cirq, D-Wave Ocean SDK