Shivam Kumar

About Shivam Kumar

I am currently pursuing a Master of Technology in Artificial Intelligence at the Indian Institute of Technology Gandhinagar, where I also work as an AI Product Engineer Intern at AIResQ ClimSols. In this role, I am engineering state-of-the-art, large-scale deep learning systems for real-world environmental monitoring. I completed my Bachelor of Technology from AKTU Uttar Pradesh in Computer Science in 2023. Throughout my academic career, I have cultivated a deep expertise in data structures and algorithms, which is reflected in my competitive programming achievements. I am a HackerRank 5-star coder, with a CodeChef rating of 1910+ and a LeetCode rating of 1840+. A highlight of my accomplishments includes securing a world rank of 917 among over participants in a LeetCode biweekly contest. My project work has also been recognized, earning me an Innovative Project Award in 2021 and leading my team as a finalist in the Smart India Hackathon (SIH) 2022. My passion lies in building practical solutions to complex problems, and I am responsible for the full AI product lifecycle in my current role. This involves researching and training cutting-edge deep learning architectures, including CNNs, GNNs, and Transformers, to generate high-fidelity predictions. I am also pioneering the use of Scientific Machine Learning techniques like Physics-Informed Neural Networks (PINNs) to ensure our models are constrained by physical laws, dramatically improving predictive accuracy. To ensure scalability, I have designed a novel generalization framework using transfer learning and unsupervised clustering. Finally, I architect and deploy a production-grade, end-to-end MLOps pipeline on AWS, leveraging Docker, AWS Batch, and Step Functions to create an automated, serverless solution for continuous, large-scale inference. I am always ready to have new experiences and learn new things. I find the idea of creating value for people through my work gratifying and I love to build things that solve people\'s problems and serve society\'s purpose. I am always looking to grow my personal and professional network. Feel free to connect with me via LinkedIn or contact me directly at \"k••••••••@iitgn.ac.in\" or \"s••••••••@gmail.com\".

Experience

1. Ai Product Engineer Intern

   Airesq Climsols

   Aug 2025 — Present

   Engineering state-of-the-art, large-scale deep learning system for real-world environmental monitoring. I am responsible for the full AI product lifecycle, from researching cutting-edge architectures to deploying a production-grade, automated inference pipeline on the cloud. my core responsibilities include:‣, including Convolutional Neural Networks (CNNs), Graph Neural Networks (GNNs), LSTM networks and Transformers, to generate high-fidelity flood inundation predictions from complex multi-source geospatial data.‣ -(), specifically Physics-Informed Neural Networks (PINNs), to ensure model outputs are constrained by physical laws, dramatically improving predictive realism and accuracy.‣ using transfer learning and unsupervised clustering to scale the model from a localized, high-resolution city emulator to a robust and highly scalable pan-India prototype.‣, leveraging Docker, AWS Batch, and Step Functions to create an automated, serverless solution for continuous, large-scale inference.

Education

• Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow

  Bachelor of Technology - BTech

  2019 — 2023

• Indian Institute of Technology Gandhinagar

  Master of Technology - MTech

  2024 — 2026