I am a Software Engineer with 5+ years of experience across a versatile set of technologies. I love automating boring tasks and creating innovative solutions to everyday problems. I completed a research-based master’s, where I built a net load demand forecasting tool for Barbados using ML and AI. I also published my thesis, which focuses on several factors that influenced my decision-making and how I arrived at building a robust tool for forecasting Barbados’s net load demand. I’m passionate about learning, upskilling, and solving interesting problems. When I’m not working, I like to tinker with some fun projects such as building my personal streaming service using Jellyfin, self-hosted adblocker service running in my homelab etc.
An N8N workflow that turns Telegram voice messages into intelligent and enhanced text prompts using Gemini AI. Speak to your Telegram bot, and it will automatically transcribe your voice, process your input through Gemini, and send back a contextual text prompt with RICC (Role, Input, Context, Constraints) framework.
A graphic tool built using ML and AI techniques as a part of my Master’s research project to help the grid operators in Barbados to better manage their RES and improve the accuracy of forecasting models.
A simple neural network implementation from scratch
MNIST Image Classification using a simple neural network
Build Attack Surface and Attack Tree for a Web Application to analyze the security of the software application
Collaborated at SDC hackathon to build a website that compares emissions to offsets by sector and predicts future levels using past trends.
Collection of starter ML projects completed during Udacity’s Machine Learning Nanodegree
 2023-2025 Master of Computer ScienceThesis:Hybrid LSTM–RLS Day-Ahead Net Load Demand Forecasting for Barbados Distribution Feeders Supervisor:Dr. Julian Cardenas Barrera | ||
 2015-2019 Bachelor of Technology in Information TechnologyExtracurricular Activities:
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2013-2015 Higher Secondary School Certificate |
