hi rahul here.👋

AI Developer & Web Enthusiast

Passionate about AI and web development, blending intelligence with seamless user experiences. With a strong academic foundation, I secured AIR 418 and AIR 421 in GATE 2025-24 (DA), showcasing my dedication and expertise in the field.

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For escalations, please find my Projects instead.

Rahul Lalwani - Full Stack Developer
Accenture India

Accenture India

Data & AI Intern

Feb 2025 - Jun 2025

Hyderabad, Telangana, India

  • Completed a data engineering internship at Accenture, focusing on Snowflake and Gen AI
  • Built dynamic stored procedures, automated data loading and warehouse scaling, and integrated AWS services with Snowflake
  • Contributed to a Gen AI project that mapped employee skills to job trends for internal career growth
Linnaeus University

Linnaeus University

Research Intern

Jan 2024 - Oct 2024

Växjö, Sweden

  • Developed new architecture for kidney tumor diagnosis, achieved detection accuracy of 98%
  • Implemented nnUNet and DeepLab-UNet architectures, enhancing segmentation efficiency by 2%
  • Analyzed datasets such as Kits19 for precise diagnosis and recommendations
IHUB DivyaSampark, IIT Roorkee

IHUB DivyaSampark, IIT Roorkee

Hackathon Chanakya UG Fellow

Jun 2023 - Oct 2023

Roorkee, India

  • Created a Heart and Respiratory Sound Expert System using deep learning, for better diagnosis of heart patients, achieving 86% accuracy with 1D CNNs
  • Trained CNN models on public datasets, reducing diagnostic errors by 5%

Technical Skills

Technologies and tools I work with to build innovative solutions

AI/ML Primary Skills

LanguagesFrontendBackendAI/ML ★Web3DevOpsCloud

featured projects

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SolLaunch - Solana Token Launchpad
SolLaunch - Solana Token Launchpad
User-friendly launchpad for creating and minting SPL tokens on Solana. Features instant minting, multi-network support, wallet integration, and a modern UI.
Next.js
Solana
Web3.js
SPL Token
Wallet Adapter
Tailwind CSS
TypeScript
Launchpad
Multi-Agent Research Assistant
Multi-Agent Research Assistant
Modern multi-agent research assistant built with Streamlit, LangChain, Google Gemini, ChromaDB, and PostgreSQL. Fetches, stores, analyzes, and synthesizes research papers with RAG and agent workflows.
Streamlit
LangChain
Google Gemini
ChromaDB
PostgreSQL
PyMuPDF
RAG
LLM Agents

recent posts

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publications

Heart and Respiratory Sound Expert System

Contributed a chapter on a system that detects heart and lung anomalies from auscultation sounds using machine learning. Published in a Scopus-indexed book.

Scopus
Healthcare
Audio
Machine Learning

Book Chapter • CRC Press (Taylor & Francis)

Published in: Cardio-Respi Signal Processing

Deepfake Detection: A Survey of Methods and Recent Advances

Published a research paper surveying the state of deepfake detection technologies in a conference proceeding.

Deepfake
Survey
Computer Vision
Conference

Conference Paper • ISCMCTR-2024

Published in: Innovative Approaches in Engineering and Management