Overview Incorporating Generative AI (GenAI) into your anomaly detection process can make workflows more adaptive, context-aware, and capable of reasoning. This project showcases how GenAI can be leveraged to create predictive maintenance workflows using Amazon Bedrock. Retrieval Augmented Generation (RAG) with knowledge bases With RAG (Retrieval-Augmented Generation), you can enhance foundation models using company-specific data…
About Me
I’m Pluto Gasanova — a Machine Learning & MLOps Engineer who thrives on big challenges and bold goals. By day, I architect end-to-end AI systems in the cloud; by choice, I push my limits in Ironman triathlons and ultra-endurance cycling. In tech, I’ve built scalable ML frameworks on AWS that take models from concept to…
Let’s Connect
Got a question about AI, MLOps, machine learning, or LLMs? Curious about triathlons, endurance racing, or training tips? Or maybe you just want to say hi — I’d love to hear from you! Drop me a message via: Email: pgasanova@gmail.comLinkedIn: https://www.linkedin.com/in/pgasanova/ Or use the form below to reach out directly. I promise to get back…
Hiking to Snowdon Summit – Spring 2025
Last spring, I set out on an unforgettable journey to the summit of Snowdon, the highest peak in Wales, starting from the village of Llanberis. I wasn’t alone on this adventure—two Argentinian friends, both seasoned hikers from near the Andes, joined me. Their experience with rugged, high-altitude treks added a special energy to the day….
Santini 600 : Cycling 600 km in 24 hours for a Good Cause
It started from a cordial chat over coffee at Ciclo e cafe, Changi Village in Nov 2021, Amos the cafe owner and Santini the official sponsor of Tour de France 2022 and Ironman races all over the world, presented us with opportunity yet an upheaval challenge to complete cycling 600 km within 24 hours on boxing day to…
Unsupervised Machine Learning: Clustering using K-Means Algorithm
K-Means Algorithm The unsupervised learning looks for previously undetected pattern/insight with minimum supervision in a dataset with no pre-existing labels such as unstructured data.K-means clustering is a type of unsupervised learning. The goal of K-means algorithm is to find groups in data, with the number of groups represent by the variable K.The algorithm works iteratively to…
Unsupervised Machine Learning: Social Network Analysis with Graph Analytics
Unsupervised Learning: Social Network Analysis with Graph Analytics A picture speaks a thousand words is one of the most commonly used phrases. But a graph speaks so much more than that. A visual representation of data, in the form of graph, helps us gain actionable insights and make better data driven decisions based on them.But to…
Unsupervised Machine Learning: Image compression using K-Means Cluster Algorithm
Image compression using K-Means Cluster Algorithm Most of us are used to working with structured data that fits neatly within fixed row and columns in relational database and spreadsheet as the examples. However, more than 90% of data generated today is considered unstructured, and this number will continue to rise with the prominence of Internet…
Supervised Machine Learning: Student Performance analysis using supervised learning algorithm
Python for Data Science: Unsupervised Learning Algorithm
In contrast to supervised learning that usually makes use of labelled data, unsupervised learning looks for previously undetected patterns in a data set with no pre-existing labels and with a minimum of human supervision. There are wide open implementation of unsupervised learning with unstructured big data which includes but not limited to areas such as: …