hi rahul here.πŸ‘‹

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.

For Q&A, raise a ticket with Contact Support β†—

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

VΓ€xjΓΆ, 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%

featured projects

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ExcaliDraw – Collaborative Drawing & Chat App
ExcaliDraw – Collaborative Drawing & Chat App
Real-time collaborative drawing app with WebSocket-powered chat, built using Next.js, React, and Prisma.
Next.js
WebSocket
Prisma
React
PostgreSQL
Heart and Respiratory Sound Expert System
Heart and Respiratory Sound Expert System
AI system for detecting heart and lung anomalies from auscultation sounds with a clinical interface.
Machine Learning
Audio Signal Processing
Heart Sound
Respiratory Sound
Streamlit
Python

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 β€’ 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 β€’ ISCMCTR-2024

Published in: Innovative Approaches in Engineering and Management