RASHMI RAMATHILAGAM

I’m an aspiring Artificial Intelligence and Machine Learning Engineer focused on developing real-time intelligent solutions for industrial and enterprise applications. My work blends Computer Vision, Machine Learning, NLP, and Intelligent Automation to solve practical, high-impact problems.

In my Machine Learning Intern roles, I built and supported systems that connect AI models to real operations. At WeDigiStudio, I developed a real-time Driver Drowsiness Detection System integrated with a Fleet Management System, implemented an MQTT-based alert transmission workflow, and tested backend APIs for reliability.

I also contribute to end-to-end model development, from data preprocessing to evaluation. At PCS Global Services Pvt. Ltd., I assisted with user-centric prediction and classification tasks—improving prediction accuracy through feature extraction and model evaluation.

My projects reflect how I turn algorithms into usable products: an AI-powered accessible sign language video conferencing platform using MediaPipe, TensorFlow (LSTM/Transformer), WebRTC, and Socket.IO; and an adaptive traffic management system combining YOLOv8, DeepSORT, and PPO reinforcement learning with real-time vehicle detection and optimized signal timings. I’ve also automated help-desk workflows with UiPath, reducing manual effort by 75%, and I’m motivated by roles that value measurable results and practical deployment.