Ajeet Kumar

I am currently a Research Intern at the Cloud Computing Lab and HIPC Lab, IIT Delhi, where I focus on building and evaluating LLM-based tools that automatically generate OpenAPI specifications from source API code.

Before joining IIT Delhi, I completed my M.Sc in Mathematics and Computing at Banaras Hindu University (BHU), Varanasi, where I worked at the DST-CIMS. My Master’s thesis was centered around Discrete Differential Geometry and its Applications, supervised by Prof. Bankteshwar Tiwari.

My academic journey began with a B.Sc (Hons) in Applied Mathematics from Jamia Millia Islamia, New Delhi. Along the way, I also pursued a Data Science Specialization through NPTEL (IIT Madras), strengthening my skills in Programming, Data Analytics, Machine Learning, and Large Language Models.

Research Experience

Jun 2024	Cloud Computing and HIPC Lab, IIT Delhi — LLM & Multi-Agent systems for OpenAPI Specification Generation
Jul 2024	QWorld Quantum Research — Implemented HHL algorithm using Qiskit to solve PDEs
Feb 2024	Devtern — Machine Learning Intern developing end-to-end ML pipelines

Latest Posts

Feb 20, 2026	AI Model Optimization Part-1 by Applied Mathematician
Feb 01, 2026	Course-AI : Academic Journey to The Industry
Jan 31, 2026	अत्रेय महाकाव्य: शून्य से सृजन और आजमगढ़ की पावन कर्मभूमि की अमर गाथा
Jan 30, 2026	Notebook : Chanakya(Kautilya) Niti Sutra
Jan 29, 2026	A Case Study of MacBook Air M4(16/256GB) for AI Model Production by Applied Mathematician

Latest Projects

GitHub Repository Project A brief description of the project.	A brief description of the project.
Lean4Agent: Multi-Agent AI System for Solving Mathematical Problems Lean4Agent is a collaborative AI system designed to tackle complex mathematical problems using multiple intelligent agents.	Lean4Agent is a collaborative AI system designed to tackle complex mathematical problems using multiple intelligent agents.
Vision Transformer(ViT) from Scratch - Solving Partial Differential Equations(PDE) Mathematical Data Driven Methods for Modelling and Simulations of Science and Engineering Problems, mostly modeled as partial differential equation therefore how to solve them for performing simulation of the system. I have trained ViT model onto the Allen Cahn PDE to dataset and checked the model predicted solution for the unseen input dataset. results are close to exact solution.	Mathematical Data Driven Methods for Modelling and Simulations of Science and Engineering Problems, mostly modeled as partial differential equation therefore how to solve them for performing simulation of the system. I have trained ViT model onto the Allen Cahn PDE to dataset and checked the model predicted solution for the unseen input dataset. results are close to exact solution.
Lean4Agent: Multi-Agent AI System for Solving Mathematical Problems Lean4Agent is a collaborative AI system designed to tackle complex mathematical problems using multiple intelligent agents.	Lean4Agent is a collaborative AI system designed to tackle complex mathematical problems using multiple intelligent agents.
Parallel and Distributed Computing How to write and solve computation problem efficiently on different architectural devices having parallel and distributed computational frameworks	How to write and solve computation problem efficiently on different architectural devices having parallel and distributed computational frameworks
Super-Market Analysis and Prediction using Python and MySQL Database Analyzing sales data from a supermarket MySQL database to uncover insights and predict customer behavior. It uses Python, , and machine learning techniques to preprocess data, perform exploratory analysis, and build predictive models for customer types.r 1	Analyzing sales data from a supermarket MySQL database to uncover insights and predict customer behavior. It uses Python, , and machine learning techniques to preprocess data, perform exploratory analysis, and build predictive models for customer types.r 1
Disease Detection Web Application The Disease Detection Web Application, developed in 2022, is a machine learning-powered platform designed to assist in the early detection of diseases.	The Disease Detection Web Application, developed in 2022, is a machine learning-powered platform designed to assist in the early detection of diseases.

Publications

PUB	Paper Title Number 1 Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
PUB	Paper Title Number 2 Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
PUB	Paper Title Number 3 Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
PUB	Paper Title Number 4 Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
PUB	Paper Title Number 5, with math $$E=mc^2$$ Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
PUB	Newton's Method for Solving Nonlinear Systems of Equations Ajeet Kumar, You. (2025). "Paper Title Number 1." Journal 1. 1(1).