About me

I am a driven Computer Science undergraduate at IIT Jodhpur with a strong interest in Machine Learning, Computer Vision and Software Development. I have hands-on experience in building and deploying machine learning models, particularly in computer vision and federated learning, using frameworks like PyTorch and TensorFlow. Additionally, I possess solid skills in backend development with FastAPI and Docker, enabling me to create scalable and efficient web applications.

My experience spans across both development and research, having contributed to projects that integrate AI models into practical applications. I am proficient in Python and familiar with cloud technologies, which allows me to build robust solutions that leverage modern infrastructure and also contributing in research in privacy-preserving learning systems and medical imaging.

What i'm doing

  • ML icon

    Machine Learning

    Building and deploying deep learning pipelines for tasks like computer vision and federated learning.

  • Backend development icon

    Backend Development

    Designing and deploying scalable backend systems and production-ready REST APIs using FastAPI and Docker.

  • AI/ML icon

    AI/ML Systems

    Integrating AI models into practical applications, including LLM-based summarization and vector retrieval systems.

  • Cloud Tech icon

    Cloud Technologies

    Leveraging cloud services like Azure OpenAI and containerizing applications with Docker for portability.

Resume

Education and Achievements

  1. Indian Institute of Technology, Jodhpur

    2023 — Present

    Pursuing B.Tech in Computer Science and Engineering. My current CGPA is 8.47.

  2. JEE Advanced 2023

    2023

    Secured All India Rank 1648 in JEE Advanced 2023, a premier national-level engineering entrance exam.

  3. Senior Secondary (CBSE Board)

    2023

    Completed 12th grade with a score of 94.4%.

  4. Secondary (CBSE Board)

    2021

    Completed 10th grade with a score of 97.2%.

Experience

  1. Software Development Intern - AI/ML at Nova VistaAI

    July 2025 — Sept 2025

    Designed and deployed a scalable backend pipeline to deduplicate 7.2M+ hotel room rate entries using clustering and LLM-based summarization with Azure OpenAI.

  2. Undergraduate Research Intern at MMVG, IIT Jodhpur

    Sept. 2024 — Present

    Built deep learning pipelines using PyTorch for few-shot and federated learning in medical imaging, contributing to research on privacy-preserving learning systems.

Technical Skills

  • Programming Languages: Python, C, C++, HTML, CSS

  • Frameworks & Libraries: PyTorch, TensorFlow, Keras, NumPy, Pandas, Matplotlib, FAISS, Fast API, Docker

  • Machine Learning & AI: Deep Learning, Computer Vision, Contrastive Learning, Federated Learning, Few-Shot Learning, Generative models

  • Software Development: Agile Methodology, REST API, Version Control (Git/Github), Unit Testing, Debugging

Certifications

  1. Machine Learning Specialization - Coursera

    An in-depth specialization covering the foundations of machine learning, from linear regression to neural networks and deep learning, taught by Andrew Ng.

    View Specialization Certificate
    • Supervised Machine Learning: Regression and Classification
    • Advanced Learning Algorithms
    • Unsupervised Learning, Recommenders, Reinforcement Learning
  2. Python Certificate - Kaggle

    Completed hands-on course covering Python programming fundamentals and applied exercises.Gained proficiency in variables, data types, functions, loops, conditionals, and practical data analysis workflows.

    View Certificate

View Full Resume 👇