Sivam Pasupathipillai

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

Today

Senior Data Scientist

RedCarbon.ai
2019-23

Data Scientist

WithSecure Inc.
2016-20

PhD Candidate

University of Trento
2015-16

Software Consultant

Mind-Mercatis Srl
2012-14

MSc Computer Engineering

Politecnico di Milano & BarcelonaTech

Technical Skills

Programming Languages

AI/ML & Data

Technologies

Python
Machine Learning
Cloud Computing
Typescript
Deep Learning
Distributed Computing
Java
Big Data Management
Docker | Kubernetes
C++
ML Ops
Android Development

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.

TypeScriptSvelteKitAI/LLMCLI

Scalable Anomaly Detection

PhD research on scalable anomaly detection algorithms for large datasets, focusing on distributed computing approaches and real-time processing.

Machine LearningBig DataDistributed Systems

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.

JavaRMIGame Development

Industrial Durometer Controller

Android application for controlling industrial durometer equipment via tablet over USB connection. Successfully developed and tested prototype in one month.

AndroidUSB CommunicationIndustrial IoT

Kernel Programming Project

Academic project involving programming various kernel features including interrupt management, process management, and I/O management with a comprehensive testing approach.

Systems ProgrammingKernel DevelopmentC/C++

Get in Touch

I'm always interested in discussing new opportunities, collaborations, or just having a conversation about AI, data science, and technology.