I am an AI engineer specializing in multi-agent systems and intelligent automation. I enjoy building agents and autonomous systems that collaborate to solve real-world problems. I am currently pursuing an MSc in Artificial Intelligence at Northumbria University London Campus, and I recently delivered production AI solutions at BridgeThings IoT, building multi-model chatbots and interconnected AI agents that reduced customer response time by 70%. I am passionate about exploring new frameworks, LLMs, and workflow orchestration tools to design intelligent, real-time automation. I am seeking an AI/ML internship to apply my skills in multi-agent architectures and data-driven decision making.

Ramya Sri Muthuluri

I am an AI engineer specializing in multi-agent systems and intelligent automation. I enjoy building agents and autonomous systems that collaborate to solve real-world problems. I am currently pursuing an MSc in Artificial Intelligence at Northumbria University London Campus, and I recently delivered production AI solutions at BridgeThings IoT, building multi-model chatbots and interconnected AI agents that reduced customer response time by 70%. I am passionate about exploring new frameworks, LLMs, and workflow orchestration tools to design intelligent, real-time automation. I am seeking an AI/ML internship to apply my skills in multi-agent architectures and data-driven decision making.

Available to hire

I am an AI engineer specializing in multi-agent systems and intelligent automation. I enjoy building agents and autonomous systems that collaborate to solve real-world problems.

I am currently pursuing an MSc in Artificial Intelligence at Northumbria University London Campus, and I recently delivered production AI solutions at BridgeThings IoT, building multi-model chatbots and interconnected AI agents that reduced customer response time by 70%. I am passionate about exploring new frameworks, LLMs, and workflow orchestration tools to design intelligent, real-time automation. I am seeking an AI/ML internship to apply my skills in multi-agent architectures and data-driven decision making.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Telugu
Advanced
Hindi
Intermediate

Work Experience

Software engineer at Bridgethings IOT
October 1, 2024 - May 1, 2025
Software Engineer at BridgeThings IoT
May 1, 2025 - May 1, 2025
Designed and deployed AI-powered customer service solutions and intelligent automation systems. Specialized in building AI agents for WhatsApp-based workflows, creating real-time IoT dashboards, and prototyping remote system control with data visualization for infrastructure optimization. Worked with ThingsBoard IoT platform, custom web applications (HTML/CSS/JavaScript), and Figma prototyping to enable remote system control and live data visualization.

Education

Bachelor of Technology in Data Science at Siddhartha Institute of Technology and Science
January 11, 2030 - November 13, 2025
Bachelor of Technology in Data Science at Siddhartha Institute of Technology and Sciences
January 11, 2030 - November 18, 2025
Master of Science in Artificial Intelligence at Northumbria University London Campus
September 1, 2020 - June 1, 2024
Master of Science in Artificial Intelligence at Northumbria University London Campus
September 1, 2020 - June 1, 2024
Senior Secondary Education (Math, Physics & Chemistry) at Sri Gayatri Junior College
January 11, 2030 - April 4, 2026

Qualifications

Python for Data Science (Coursera – IBM)
January 1, 2023 - November 13, 2025
Predictive Analytics
January 1, 2023 - November 13, 2025
Machine Learning Internship
January 1, 2023 - November 13, 2025
Python for Data Science
January 1, 2023 - November 18, 2025
Predictive Analytics
January 1, 2023 - November 18, 2025
Machine Learning Internship
January 1, 2023 - November 18, 2025
Python for Data Science
January 1, 2023 - April 4, 2026
Predictive Analytics
January 1, 2023 - April 4, 2026
Machine Learning Internship Course
January 1, 2023 - April 4, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment, Education, Transportation & Logistics, Energy & Utilities, Telecommunications
    paper SENTIMENT ANALYSIS OF GOOGLE PLAY STORE REVIEWS

    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…