Data Scientist & Applied ML/GenAI Engineer
Building production AI systems that turn ideas into measurable impact.
I work at the intersection of product strategy, rigorous evaluation, and pragmatic engineering—shipping GenAI, agentic, and ML systems that are used in the real world.
Featured Projects
View all-
Maimou
A lean full-stack calorie-tracking app with AI-powered features planned for the next phase of product development.
-
Unbullet
AI-powered recruiting product matching job seekers to roles through candidate narrative rather than keyword matching.
-
Trimate | Triathlon Assistant
TriMate is your go-to companion for triathlon training.
Featured Posts
Unmasking Bias in Machine Learning - A Comprehensive Guide
Published: at 06:00 PMExplore the types of biases in machine learning models, their real-world impacts, and strategies to mitigate them, ensuring fair and equitable AI systems. This guide covers data, algorithmic, and decision scientist biases, along with practical solutions for addressing each.
Object-Oriented Programming - Crafting Intelligent Systems with Code
Published: at 08:29 AMDive into the intersection of Object-Oriented Programming (OOP) and machine learning in our blog. Explore how OOP principles enhance the development and deployment of machine learning models, leveraging encapsulation, inheritance, and polymorphism to build scalable and efficient solutions.
Feature engineering for Machine Learning
Published: at 08:58 AMDive into the art of 'Feature Engineering for Machine Learning' with this comprehensive article, where we delve into the crucial process of crafting effective features to enhance model performance. Through insightful explanations and practical Python implementations, learn essential techniques to preprocess and engineer features, empowering your machine learning models with the ability to extract meaningful insights from data.