CV

Link to my Full CV - here

Education

• Ph.D in Computer Science, University of California, Irvine, 2026 (expected)
• Integrated M.Sc. (B.S.+ M.S.) in Mathematics, National Institute of Technology, Rourkela, 2016

Work experience

• Winter, 2023 - Present: Graduate Research Assistant
  • ETAD Lab, UCI

  • Duties includes: My research focuses on advancing fairness and interpretability in Machine Learning, particularly through fair representation learning and explore neuro-symbolic AI frameworks such as the Kolmogorov-Arnold Network (KAN), and Large Language Models (LLM). Currently, I am exploring the fairness and interpretability aspects of these models to enhance transparency and trustworthiness in decision-making processes. Additionally, I leverage Generative Adversarial Networks (GANs) like FairGAN model as the state-of-the-art baseline models to evaluate and mitigate bias while ensuring equitable outcomes. My work includes developing fairness-aware deep learning methods within the domain of student admissions, utilizing real-world datasets obtained through NDAs with Universities. I also work on developing mathematical modeling and guarentees to improve model performance, reliability, and efficiency. My technical expertise spans Python (NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn), PyTorch, and CUDA for GPU-accelerated computations, enabling scalable and effective implementation of deep learning frameworks.

  • Supervisor: Prof. Sergio Gago-Masague
• Fall 2022 - Fall, 2023: Graduate Research Assistant
  • Dept. of Computer Science, UCI
  • Duties included: We worked on deep symbolic regression techniques using reinforcement learning algorithm which uses the policy gradient concept to produce mathematical expression(s) in the form of a syntax tree which is generated stochastically. The work focuses on improving the reward function through optimization technique by simultaneously improving the learning algorithm through noisy data inputs.
  • Supervisor: Prof. Eric Mjolness
• Fall 2019 - Present: Teaching Assistant
  • Dept. of Computer Science, UCI
  • Courses: Capstone Project (CS 180, CS 297P), System Design (ICS 53), Boolean Algebra and Discrete Mathematics (ICS 6B).

Skills

• Programming Language: C, C++, Python (Pandas, Scikit-learn, Matplotlib, Seaborn), SQL
• Deep Learning packages: PyTorch, TensorFlow
• Software: MATLAB, Anaconda, Jupyter Notebook, Mathematica, Visual Studio, PyCharm, GitHub