Hi👋🏿, I'm Blessed
Systems-focused software engineer building reliable and observable data systems. I work across Go (systems) and Python (modeling), designing pipelines and infrastructure that make complex data measurable, trustworthy, and operational in production environments. My current work focuses on athletics performance anomaly detection (research) and Sedge (data-intelligence platform) for building observable data products.
Interested in how systems behave after deployment?
Athletics Performance Outlier Detection
Research framework comparing statistical, ML, and temporal methods to detect anomalous athletic performances across track & field events (between 2010 and 2025). The system evaluates the accuracy of each approach using large-scale historical performance data from elite and sub-elite athletes.
Python
FastAPI
HTMX
PostgreSQL
DuckDB
Redis
Docker
AnsibleTelco Customer Churn Analysis
ML-powered customer retention tool delivering 15 actionable strategies with 26.92% churn reduction predictions for telecom companies.
Python
Scikit-Learn
PlotlyCoreSentiment
Stock prediction platform analyzing Wikipedia pageview sentiment for tech companies with automated ETL workflows and real-time dashboards.
Python Docker
Airflow PostgreSQL
StreamlitGDP & Aviation Trends
Economic analysis framework processing four decades of World Bank data, explaining 75.8% variance in U.S. aviation growth patterns.
Python
PandasGo-ZeptoMail
Native Golang SDK for ZeptoMail's transactional email API with type-safe implementations for Go developers.
GoThreeThirtyOne Consulting
Modern consulting platform connecting clients with strategic solutions, featuring collaborative project management and outcome tracking.
VueJS
TailwindCSS