Full Stack Developer & AI Engineer at VIT Vellore. Crafting intelligent systems that sit at the intersection of scalable engineering and machine intelligence.
const aman = {
role: "Full Stack + AI Engineer",
university: "VIT Vellore",
cgpa: 9.28,
stack: [
"React", "Node.js",
"Python", "FastAPI",
"MongoDB", "PostgreSQL"
],
ai: ["Gemini", "OpenAI", "YOLOv8"],
status: "open_to_work" // ✓
};I'm a Computer Science Engineering student at VIT Vellore, specializing in Data Science, with a passion for building systems that are both technically rigorous and genuinely useful. My work spans full-stack web development, AI/ML pipelines, and real-time computer vision systems.
From interning at Asteria Aerospace as a Full Stack Developer to qualifying GATE 2026, I thrive at the intersection of engineering depth and product thinking. I'm a Senior Core Committee Member of the Visual Bloggers Club, where I lead technical and management initiatives.
Vellore Institute of Technology
2023 – 2027Asteria Aerospace Limited · Bengaluru
Qualified the national-level examination, demonstrating strong fundamentals in core computer science subjects.
Selected as a college-level finalist for developing a real-time AI-based crowd monitoring system.
Technical & Management lead at Visual Bloggers Club, VIT Vellore.
AI-Powered Recruitment Platform
Full-stack recruitment platform with an AI headhunter using Google Gemini API for automated candidate matching and mock interview chatbot. Integrates global job data via SerpApi and Adzuna APIs for real-time aggregation.
Real-Time Crowd Intelligence — eYantra '26 Finalist
Computer vision system using YOLOv8 to track crowd density and movement. TensorFlow GRU model predicts congestion and triggers proactive safety alerts via ESP32 microcontroller with a live FastAPI dashboard.
Voice-Based Adverse Drug Reaction Detection
Voice-based ADR detection pipeline using Whisper and hybrid NLP (RapidFuzz, sentence-transformers). Probabilistic risk scoring with MFCC vocal stress analysis, drift detection, and Shapley-based explainability for medical AI.
Hospital Resource Optimizer — SIH Internal Finalist
Real-time hospital bed and OPD tracker with predictive demand analytics. ARIMA time series models for accurate demand forecasting and resource allocation, built with Spring Boot and React.
Whether it's a full-stack product, an AI integration, or just a conversation about tech — my inbox is always open.