Experience

  1. Instructor

    IIIT-Hyderabad

    Responsibilities include:

    • M24 CS0.101 Computer Programming:
    • Responsibilities: delivering lectures, developing course material and tutorials, conducting lab sessions, office hours,
    • Advising and mentoring, guiding, and course auto-grading platform.
    • Course webpage: http://cpro-iiit.github.io/

  2. Research Intern

    Samsung R & D Institute - Bangalore

    Mentor: Dr. Dendi Sathya Veera Reddy, Dr. Pravin Nair

    • Manager: Mr Rajnarayan Gadde
    • Project: Image Super-resolution using Diffusion Models
    • Paper-: Affine-StableSR: Coupling Layer based Lightweight-Autoencoder and Stable Diffusion Model for Image Super-Resolution.

  3. Research Assistant

    Dept. of Ophthalmology and Genomic Medicine, University of Leicester, UK.

    Supervisor: Dr Mervyn G Thomas

    • Project: Machine learning-based classification of foveal development.
    • Detection of fovea maturity using optical coherence tomography and machine learning.

  4. Research Assistant

    Deva Lab, IIIT-Hyderabad

    Advisor: Prof. U. Deva Priyakumar,

    • Project: Generative models for de novo 3D molecule generation.
    • Designing a normalizing flow-based deep learning model that learns the energy function from data in an end-to-end fashion by generating energetically favorable molecular conformations that are more likely to be observed experimentally.

  5. Research Intern

    School of Mathematics and Statistics, University of New South Wales

    Advisor: Dr. Rohitash Chandra,

  6. Research Intern

    Computer Vision and Robotics Lab, University of Illinois Urbana-Champaign Champaign

    Advisor: Dr. Narendra Ahuja in collaboration with Dr David Beiser, College of Medicine at UIChicago and Dr David Chestekat, UIUC

    • Project: Remote Sensing of Physiological Measurements Using Camera.
    • Paper: R2I-rPPG: Robust Region of Interest Selection for the Remote PPG.

  7. Research Assistant

    Machine Learning Lab, IIIT-Hyderabad

    Advisor: Dr. Girish Varma,

    • i.) Fast and efficient normalizing flow models and designing an invertible convolutional deep network to learn and generate fake images.
    • ii.) Designing a flow for the corn seed’s automatic labeling and classification using generative models and active learning.
    • iii.) Panoptic Segmentation Models for the India Driving Dataset.
    • iv.) Conn seed image dataset for advancement in food and agriculture development, -details, code link

  8. Teaching Assistant,

    IIIt-Hyderabad

    Course:

    • Linear Algebra, Instructor: Prof Chittaranjan Hens and Prof Siddhartha Das, Spring-23
    • Computer Programming, Instructor: Dr. S Chakraborty, Dr. Varma, and Dr A. Deshpande, Monsoon-22
    • Math for CS: Linear Algebra, Instructor: Prof Girish Varma, Monsoon-22
    • Maths for CS: Probability and Statistics, Instructor: Prof Girish Varma, Monsoon-21
    • Linear Algebra, Instructor: Prof Girish Varma, Spring-21
    • Probability and Statistics, Instructor: Prof Pawan Kumar, Monsoon-20
    • Probability and Statistics, Instructor: Prof Girish Varma, Monsoon-19
    • Computer Network, Instructor: Prof Shatrunjay Rawat, Spring-19

Education

  1. PhD in Computer Science

    IIIT-Hyderabad, India
    • Thesis on Fast & Efficient Normalizing Flows and Applications of Image Generative Models
    • Supervised by Prof Girish Varma.
    • Courses: Advanced Mathematics Structure, Probabilistic Graphical Models, Statistical Methods in Artificial Intelligence, Adv. Robotics: Path Planning and Control, Mobile Robotics: Mechanism and Control, Computer Vision: Digital Image Processing.
    Read Thesis

  2. BTech in Computer Science & Engineering

    Harcourt Butler Techological University - Kanpur, India

    Courses included:

    • AI, Machine language (MIPS), Databases, Algorithm, Compiler.
    • Computer Programming, Computer Network, Computer Architecture, Operating System.
    • Compiler Design, Complexity Theory, Theory of Automata & Formal Languages.
    • Programming in C, Python, Java, Digital Design, Probability and Statistic.
    • Linear algebra, Discrete Mathematics, Probability and Statistics .
Skills & Hobbies
Technical Skills
Python
Pytorch
C++
CUDA-GPU
Hobbies
Basketball
Piano
Novels

Scifi, History

Awards
Awarded ACM India-IARCS travel grant
ACM ∙ February 2025
ACM India-IARCS travel grants are intended for work directly related to computing science.
Won 1st Place in NVIDIA Competitions, ICETCI 2023
NVIDIA ∙ August 2023
In the domain of art restoration, develop an innovative computer vision model capable of effectively restoring deteriorated images of art pieces. The goal is to create an automated solution that can enhance and reconstruct degraded artworks, improving their visual quality while preserving their original characteristics. The model should handle a diverse range of deterioration types, including but not limited to noise, blur, scratches, fading, and other common forms of degradation.
Awarded one year iHub-Data PhD Fellowship
iHub-IIITH ∙ August 2023
Project Proposal: Fast & Efficient Normalizing Flows and Applications of Image Generative Models. The iHub-Data PhD Fellowship is a one-year fellowship program that provides financial support to PhD students working on data science and AI research projects. The fellowship is designed to support students in the final stages of their PhD research, helping them to complete their work and prepare for their future careers in academia or industry.