Hi, I’m Ramya Sri Muthuluri, a multi-disciplinary AI/ML engineer focused on building multi-agent AI systems, real-time automation, and travel-tech solutions. I enjoy exploring new frameworks and design patterns to craft intelligent, user-centric experiences that scale.
Currently pursuing an MSc in Artificial Intelligence at Northumbria University, London Campus while delivering production AI solutions at BridgeThings IoT and OnTime London AI. I love building agents, data pipelines, and dashboards, and I’m seeking an AI/ML internship to apply my multi-agent architecture and real-time automation skills.
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Analyzes 12,495 Google Play Store reviews using rule-based methods (VADER, TextBlob), traditional ML algorithms (Naive Bayes, SVM, Logistic
Regression, Random Forest, XGBoost), and transformer models (DistilBERT, RoBERTa, DeBERTa-v3).
Achieved progressive accuracy improvements with Naive Bayes reaching 71.8% and DeBERTa-v3 achieving the highest at 77.5%, demonstrating
significant advancement in sentiment classification capabilities…
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