Rahul Kumar

M.Tech Student, Systems & Control Engineering
Indian Institute of Technology Bombay

email / github / linkedin / curriculum vitae

About

I am a Master of Technology student in the Systems & Control Engineering group at the Indian Institute of Technology Bombay (IIT Bombay). My work sits at the intersection of scientific machine learning, dynamical systems, and agentic artificial intelligence architectures.

Previously, I completed my B.Tech in Computer Science & Engineering from the School of Engineering and Technology at Nagaland University, where I graduated top of my class with a 9.62 CPI and was awarded the Institute Gold Medal for Academic Excellence.

Research Interests

Physics-Informed Neural Networks & Dynamical Systems Embedding governing ODEs/PDEs and conservation laws directly into neural network loss landscapes for data-free modeling and continuous-time system identification.

Machine Learning Theory & Kernel Methods Convex optimization in Multiple Kernel Learning (MKL), formulation of dual objectives with simplex constraints, and decision boundary analysis.

Agentic AI & Retrieval-Augmented Generation Multi-agent workflow orchestration (LangChain, Model Context Protocol), hybrid sparse-dense retrieval (BM25 + vector embeddings), and grounded reasoning.

Decentralized & Embedded Cyber-Physical Systems Edge sensor telemetry (ESP32, INA219), real-time WebSocket communication, and smart contract settlement protocols for distributed microgrids.

Publications & Preprints

Solana Powered Peer-to-Peer Energy Trading System Under Review

C. Y. Konyak, Rahul Kumar, M. Ozukum, R. Singh, and S. Hazarika

Proceedings of the 4th International Conference on Machine Intelligence for Research & Innovations (MAiTRI 2026), Springer Nature, May 2026.

[pdf via cv] [project details]

Selected Projects

Physics-Informed Neural Networks for Dynamical Systems Spring 2025

M.Tech Seminar Project · Advised by Prof. Vivek Natarajan, Centre for Systems & Control, IIT Bombay

Formulated and implemented PINNs in PyTorch to solve non-linear dynamic equations without external training data by enforcing ODE physics residuals directly into the loss objective.
- Constructed composite loss combining physical ODE residuals and boundary condition penalties over 300 collocation points.
- Modeled spring-mass-damper dynamics via higher-order autograd, benchmarking against RK45 numerical baselines with an optimal L2 error of 2.30 × 10⁻⁴.
PyTorch · Scientific Machine Learning · ODE Systems · Autograd
EduRAG: Agentic Course Intelligence & QA Engine 2026

Independent Systems Research

Engineered an agentic RAG platform ingesting multi-format academic course materials (PDF, PPT, DOCX) with structured semantic indexing and modular query execution.
- Designed hybrid retrieval combining ChromaDB vector search with BM25 keyword matching and cross-encoder reranking.
- Orchestrated a multi-agent system coordinating Router, Retriever, Reasoning, Math Solver, and Citation agents in LangChain.
- Built an automated MCQ quiz generator with Ragas-based evaluation for faithfulness and context recall.
Python · FastAPI · Streamlit · LangChain · ChromaDB · BM25 · Docker
Solana-Powered Peer-to-Peer Energy Trading Platform 2024 – 2025

B.Tech Thesis · Advised by Dr. Chenlep Yakha Konyak, Dept. of CSE, Nagaland University

Architected a hybrid real-time microgrid energy trading platform linking physical edge sensor nodes to an on-chain automated settlement layer.
- Interfaced ESP32 microcontrollers with INA219 current sensors and relay switches, achieving >90% automated metering efficiency.
- Implemented sub-3-second transaction finality using Solana Devnet and SPL tokens linked to Phantom Wallet.
- Fabricated two physical hardware node prototypes demonstrating autonomous peer-to-peer energy dispatch upon cryptographic verification.
C++ · ESP32 · Solana · WebSockets · Hardware Prototyping · Python
Comparative Study of SVM Kernels & Multiple Kernel Learning Autumn 2025

Course Project: CS 725 (Foundations of Machine Learning) · Advised by Prof. Abir De, IIT Bombay

Investigated linear, polynomial, and RBF kernel formulations on high-dimensional multi-class datasets and implemented convex optimization for SimpleMKL.
- Benchmarked kernel decision boundaries on 581k-sample Forest Cover dataset using stratified sampling and 5-fold cross-validation.
- Formulated SimpleMKL dual optimization under simplex constraints, attaining 87.20% accuracy and outperforming single-kernel baselines.
Python · Scikit-learn · Convex Optimization · SimpleMKL
TechAura Official Web Platform & Event Portal 2023 – 2025

Institutional Web Engineering

Developed, deployed, and maintained the official festival web platform serving 300+ attendees with dynamic registration pipelines and server-side validation on Google Cloud Platform.

Python · Flask · JavaScript · GCP App Engine

Education

Indian Institute of Technology Bombay 2025 – 2027

Master of Technology in Systems & Control Engineering

Coursework: Foundations of Machine Learning (CS 725), Organization of Web Information (CS 728), Deep Learning: Foundations & Applications (CS 6012), Generative & Agentic AI (IE 624).
School of Engineering & Technology, Nagaland University 2021 – 2025

Bachelor of Technology in Computer Science & Engineering · CPI: 9.62 / 10.0

Conferred Institute Gold Medal for first rank across the department.

Honors & Competitions

Institute Gold Medal Conferred for Academic Excellence in B.Tech CSE, Nagaland University
2026
1st Place — Code Chef Competitive Programming TechAura Technical Fest, SET-Nagaland University
2023
2nd Place — Code War Algorithmic Challenge TechAura Technical Fest, SET-Nagaland University
2022

Technical Skills & Certifications

Languages

C, C++, Python, SQL, JavaScript, Bash

Frameworks

PyTorch, Scikit-learn, FastAPI, Flask, React, LangChain

AI & Systems

Physics-Informed ML (PINNs), LLM Agents, Model Context Protocol (MCP), RAG, ChromaDB

Tools & Infra

Git, Linux, Docker, Google Cloud Platform (GCP), AWS EC2

Anthropic Certs

Model Context Protocol, Subagents, Agent Skills, Claude Code, AI Fluency

Now

Currently at IIT Bombay, immersed in coursework across Deep Learning and Generative Agentic AI, while working on physics-informed neural formulations for continuous-time dynamical systems.

Reading through recent literature in scientific machine learning, operator learning (DeepONets/FNOs), and tool-augmented autonomous reasoning agents.

Updated: Spring 2026