💡 AI Engineer @ Arcadis | Machine Learning & Backend Enthusiast 🎓 B.Tech — Computer Science & Engineering (AI & ML) 🚀 Building intelligent systems for real-world impact in computer vision, real-time data pipelines, and scalable backend platforms.
- Computer Vision & ML → Human action recognition, attentiveness tracking, predictive modeling.
- Backend & Systems → Django/Flask APIs, microservices, real-time event processing (Kafka, Redis).
- MLOps & Deployment → Docker, Kubernetes, AWS Sagemaker, CI/CD pipelines.
- Data Analytics → Urban mobility, infrastructure, and intelligent monitoring.
- 🎥 Human Action Recognition — Video classification using ResNet50 & TensorFlow.
- 🧑🏫 Student Attentiveness Tracking — CV-based distraction/drowsiness/emotion detection with real-time feedback.
- 🛠️ Dynamic Rule Engine — Python AST-powered evaluator for live eligibility checks.
- 📊 Stock & Diamond Price Predictors — End-to-end ML pipelines with regression models + CI/CD automation.
- 🌦️ Weather Alerts System — Kafka + PostgreSQL event-driven microservices with Dockerized deployment.
- ⚡ Helmet Detection — Video upload → WebSocket → Django → AWS Sagemaker async inference → S3 results with Redis progress updates.
- 🌐 Digital Twins Platform — Django-based city analytics system integrating traffic, congestion, and infrastructure data.
- AI for Finance (Algo Trading, Market Intelligence)
- Real-Time Systems & Event Processing
- Deep Learning Architectures (CNNs, Transformers, GNNs, MoE)
- Scalable Full-Stack & Cloud Deployments
- Urban Mobility & Smart Infrastructure
⭐️ Always open for collaborations, research discussions, and innovative AI-driven solutions.