Veer vikram Saxena

Working under Prof.

Arnab

Mukherjee and PhD scholar Bikirna Roy, developing graph neural network (GNN) models with encoder-decoder architectures to estimate kappa coefficients. Analyzing molecular transitions from reactant to product states with improved predictive performance using advanced deep learning techniques.

Deep Learning Project Intern at Indian Institute of Science Education and Research (IISER), Pune (2026-03 – Present)

• Working under Prof. Arnab Mukherjee and PhD scholar Bikirna Roy, developing graph neural network (GNN) models with encoder-decoder architectures to estimate kappa coefficients.
• Analyzing molecular transitions from reactant to product states with improved predictive performance using advanced deep learning techniques.

NLP Engineer | Project Intern at Uptricks Services Pvt. Ltd. (2026-03 – 2026-04)

• Contributed to AI-driven customer support solutions using large language models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to build context-aware NLP pipelines.
• Built context-aware, efficient NLP pipelines that improved response accuracy and enhanced automated customer interaction workflows.

BTech in Computer Science and Engineering – Vellore Institute of Technology, Chennai (2024-07 – 2028-08)

HSC (Class XII) – New Bombay City School, Navi Mumbai (2021-04 – 2023-08)

SSC (Class X) – Bal Bharati Public School, Navi Mumbai (2011-04 – 2021-06)