BS in Data Science student at Indian Institute of Technology Madras (IIT Madras). Specializing in production Computer Vision pipelines (PyTorch & OpenCV), automated DevOps CI/CD infrastructure (AWS & Jenkins), and distributed log aggregation architectures.
Core Capabilities
Real-time video detection pipelines, HOG feature extraction, and PyTorch deep learning neural networks.
Automated AWS deployment infrastructure, Jenkins pipeline automation, and Docker containerization.
High-throughput log analytics engines, REST APIs (Flask), and relational database integrations (SQL).
Rigorous BS in Data Science coursework covering machine learning algorithms, statistics, and data structures.
Production Architectures
Deep learning Computer Vision system utilizing PyTorch and OpenCV to detect driver hand position and distraction states in real-time video streams.
Automated vehicle flow classification and multi-object detection pipeline for intelligent traffic monitoring.
High-throughput log processing pipeline deployed on AWS infrastructure with automated Jenkins CI/CD integration.
Convolutional Neural Network model for medical image classification and binary diagnosis from chest radiography.