
Sivam Pasupathipillai
AI Specialist
🤖 Turning hype into products. PhD in ICT from University of Trento. Learning enthusiast 📚 Guitar player 🎸
About Me
I work on turning AI research into practical solutions. Over the past 5+ years, I've focused on bridging the gap between academic research and real-world applications, helping deploy machine learning systems that handle large-scale data processing in production environments.
My PhD in Information Technology from University of Trento explored scalable anomaly detection algorithms for large datasets. This research experience has been valuable in my current role as a Senior Data Scientist at RedCarbon.ai, where I contribute to AI product development from initial concepts through deployment.
I enjoy working at the intersection of research and engineering—whether it's optimizing distributed systems, building ML pipelines, or collaborating with teams on technical challenges. I find it rewarding to help make complex AI technology more accessible and useful.
When I'm not coding or analyzing data, I enjoy learning new things and playing guitar. I believe there's always something new to discover and improve upon.
5+
Years of Experience
PhD
Information Technology
AI/ML
Specialization
Experience & Skills
Senior Data Scientist
RedCarbon.aiData Scientist
WithSecure Inc.PhD Candidate
University of TrentoSoftware Consultant
Mind-Mercatis SrlMSc Computer Engineering
Politecnico di Milano & BarcelonaTechTechnical Skills
Programming Languages
AI/ML & Data
Technologies
Projects & Research
Bloggen
An AI-powered static site generator that creates professional blogs from a simple topic. Supports multiple LLM providers (Ollama, OpenAI, Anthropic), interactive site map review, and multiple themes.
Scalable Anomaly Detection
PhD research on scalable anomaly detection algorithms for large datasets, focusing on distributed computing approaches and real-time processing.
Carcassone Game Implementation
Digital version of the popular turn-based board game featuring both local and remote gameplay. Implemented using Java with RMI and custom communication protocols.
Industrial Durometer Controller
Android application for controlling industrial durometer equipment via tablet over USB connection. Successfully developed and tested prototype in one month.
Kernel Programming Project
Academic project involving programming various kernel features including interrupt management, process management, and I/O management with a comprehensive testing approach.