I am Gaurav Singh, a pre-final year B.Tech Computer Science Engineering student at Vellore Institute of Technology, specializing in Artificial Intelligence and Machine Learning, with a Minor in Cybersecurity. I joined the institution on a full four-year scholarship after securing Rank 19 in the entrance examination, placing in the top percentile of applicants. Current CGPA: 8.22.
My professional work coordinates at the intersection of machine learning systems, full-stack web platforms, and clinical AI architectures. I build systems designed to operate directly in production environments. My flagship medical intelligence project, Bio-SentinelX, incorporates multi-model Large Language Model orchestration, dual retrieval-augmented generation pipelines, and local in-browser neural network inference.
During my tenure as a Software Development Intern at the Centre for Disaster Mitigation and Management (CDMM), I built ShakeAlert, a seismic surveillance platform utilizing Firebase databases and Azure Maps coordinates. In addition, I coordinate the technical division of the GeoSpatial Club VIT, organizing Remote Sensing and GIS workshops.
Within the open-source community, I contributed to public roadmap documents referenced by millions of developers globally. I am preparing for campus placements starting in July 2026, targeting Machine Learning engineering, Full-Stack engineering, and cloud developer roles.
An enterprise-grade health intelligence platform predicting disease outbreaks 7–14 days in advance using environmental variables. Integrates a 10+ LLM cascade, in-browser TFLite inference, a dual RAG pipeline, and real-time medical literature indexing.
A hybrid ML + LLM disease prediction system classifying 399 distinct conditions from symptom inputs and generating personalized Ayurvedic treatment recommendations. Designed with full offline fallback capability.
A production disaster mitigation platform developed during CDMM VIT internship. Ingests live seismic sensor feeds, performs statistical signal anomaly detection via Python/Pandas, and dispatches early warnings with live Azure Maps geospatial impact projections.
A security tool automating physical address spoofing across 3+ network interfaces to neutralize tracking. Employs a non-predictable scheduled rotation algorithm to block adversarial pattern fingerprinting.
A full-stack mock interview platform with live camera (WebRTC) and real-time voice input (Speech API) integrations. Uses Gemini 2.0 Flash to generate dynamic questions and provide comprehensive response evaluations.
Developed the ShakeAlert hazard platform. Built full pipelines tracking seismic sensor feeds, executing Pandas calculations for signal anomaly identification, and automating geo-alert dispatches via Azure Maps databases.
Supervised technical development for VIT's mapping society with 100+ members. Formulated student workshops in Remote Sensing, mentored junior members on research workflows, and led prototypes for seismic alert systems.
Contributed curriculum outlines to AI/ML roadmaps. Automated validation checks via GitHub Actions, decreasing pull request integration checks and deployment errors by 35%.
| Distinction | Ideation Event | Description | Date |
|---|---|---|---|
| First Place (9.5/10) | IIC NIT Durgapur Ideathon 2026 | Disease prediction and analysis platform | May 2026 |
| Grand Finalist | Anveshana 3.0 National Challenge | BMSIT&M, Bangalore · Top 50 nationwide | March 2026 |
| Grand Finalist | India Innovates 2026 | Municipal Corp of Delhi · Bharat Mandapam, New Delhi | March 2026 |
| Phase 2 Qualifier | ET Gen AI Hackathon | Economic Times · Top Teams Nationwide | March 2026 |
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