Rahul Yadav

I am a final-year Computer Science and Engineering student at VIT Vellore.
My focus is on building integrated systems at the intersection of AI/ML and Cloud Computing to bring real-time health intelligence into normal life, with the aim of improving human health and enabling early disease prevention. To this end, I lead Project Aero Stream, a cloud-connected health platform that captures and analyzes nasal breathing patterns in real time to advance precision respiratory diagnostics and remote patient monitoring. I developed and filed a patent for this system in India under the guidance of Prof. Yokesh Babu Sundaresan.

I am currently a Software Engineer Intern at GoRoots, where I focus on building scalable web and mobile applications that ensure system stability, performance, and seamless user experience.

Projects  /  Leadership

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My work focuses on developing new AI methods to understand and engineer health systems, with the goal of enabling early disease prevention and fostering collaborative approaches in education to improve quality life. By bridging computation with experimental validation, I aim to create novel technologies for early detection of life-threatening conditions such as cancer makers, early stage infections and to advance educational tools that make learning more accessible and impactful.

I introduce Evara, a WhatsApp AI agent that automates personal tasks through custom orchestration and tool-augmented reasoning, bypassing frameworks like LangChain. The system integrates real-time APIs for flight search, price tracking, and reminders while maintaining persistent conversation memory, achieving production-grade performance with 24/7 deployment. This demonstrates scalable agent architecture applicable to consumer AI products.

I led the development of the Nail Disease Diagnosis System, an AI/ML-powered platform designed to detect early-stage diseases through analysis of human nail images. Users can upload images of their nails, and the system returns diagnostic insights in real time. By training a deep convolutional neural network on a large, curated dataset, we achieved a validation accuracy of 97.8% with minimal loss, demonstrating strong generalization performance. The system is optimized for low-latency inference and is built with scalability and user accessibility in mind.

I built Uni-papers.com as an AI-powered academic platform where students can access, upload, and monetize university-level papers. By combining smart search with auto-review tools, the site helps students write better, faster — while earning revenue through paper uploads and Google AdSense integration.

We introduce AeroStream, a contactless disease screening pipeline that analyzes breath signals using large language models, achieving early detection of respiratory and metabolic conditions. This approach improves accessibility and diagnostic speed without increasing hardware or computational cost.

We propose a two-stage OCR pipeline that first detects the presence of text before running full recognition, reducing compute usage by over 70%. This architecture enables scalable, cost-efficient document processing without compromising OCR accuracy.

We developed a high-availability truley free URL shortener using a fully serverless architecture—Next.js on the frontend, with AWS Lambda, S3, and DynamoDB on the backend, secured and accelerated via Cloudflare. The system is optimized for low-latency redirection and infinite horizontal scalability with near-zero infrastructure overhead.

We present a wearable disease detection system leveraging multimodal biosensors and hierarchical ML inference on Raspberry Pi 4. By integrating vitals and breath biomarkers with patient history, our system achieves real-time risk prediction with low-latency, on-device intelligence and cloud-based reporting.

In this rapidly evolving world, I’m deeply passionate about Artificial Intelligence and emerging technologies. I actively explore and experiment to stay ahead in the tech curve, constantly learning and building. This project reflects that vision—a wearable disease detection system designed to deliver accessible, real-time health insights to both patients and doctors through intelligent, sensor-driven design.

From May to June 2025, I completed an intensive AI credit course by SmartBridge in collaboration with Google for Developers. Focused on hands-on project work, the program strengthened my ability to build and deploy machine learning models, aligning with my goal of engineering scalable, AI-driven systems.

To build a well-rounded foundation, I earned key credentials from IBM SkillsBuild—covering core AI principles alongside strategic planning for cloud-based deployments. This dual focus equips me with a holistic view of designing and delivering modern, scalable applications.

To strengthen my AI foundation, I earned Google Cloud credentials focused on generative technologies—covering LLMs, attention mechanisms, image generation, and Gemini API development. The coursework also emphasized Responsible AI, aligning technical depth with ethical design.

In addition to technological innovation, I am passionate about leadership and business, and strive to create solutions that empower people and improve lives. This project reflects that vision—a wearable disease detection system that brings accessible, real-time health insights to patients and doctors through intelligent, sensor-driven design.

As a Software Engineer at Aarogya, I developed a zero-cost health data platform for rural Nepal, combining React Native and Google APIs to support underserved communities. Beyond engineering, I contributed to business strategy, logistics, and patient outreach—driven by a mission to make healthcare more accessible and impactful.

My education has been driven by a deep curiosity for technology, innovation, and real-world impact. I’ve focused on building a strong foundation in computer science while actively applying my skills through research, projects, and interdisciplinary learning that bridges engineering, healthcare, and entrepreneurship. Looking ahead, I aspire to expand my knowledge and grow through opportunities at some of the world’s leading institutions.

Vellore Institute Of Technology
Bachelor of Technology,
Computer Science and Engineering [2022 - 2026]
CGPA : 8.07 / 10