MLOps & Software Engineer .
Building intelligent systems for analytics through AI solutions.
I'm Buoy Gai, with 3+ years of experience in deploying AI solutions. Certified MLOps specialist with expertise in cloud-native applications and predictive systems.
Proven track record in healthcare analytics and environmental impact prediction using machine learning and GIS mapping. Passionate about building scalable data pipelines.
Technical Expertise📊
Specializing in data-driven solutions, predictive modeling, and analytical systems
Full-Stack Development
Building responsive web applications using React/Next.js, TypeScript, and Django. Implementing RESTful APIs with FastAPI and Node.js.
MLOps Engineering
Deploying AI models on AWS/Azure, creating data pipelines with S3/Lambda, and implementing CI/CD workflows with Docker.
Data Analytics & GIS
Analyzing 33+ years of environmental data, processing spatial datasets with GIS tools, and creating predictive models using statistical analysis.
Cloud Infrastructure
Designing cloud-native solutions on AWS & Azure, optimizing computational costs, and managing scalable deployments.
Data Science & Prediction
Developing machine learning models for health analytics and environmental impact prediction using Python, TensorFlow, and time series analysis.
Mobile Development
Building cross-platform applications with Flutter/Dart, integrating Firebase services, and implementing responsive UIs.
Projects🚀
Showcasing my latest works and experiments in tech
CardioVascular Disease Prediction
Python + TensorFlow + AWS + Streamlit
MLOps pipeline for predictive health analytics with data processing, model training, and Streamlit UI
Intell HP Platform
TypeScript + React + Next.js + GSAP
Corporate website with blog features and interactive animations
MyAID Mobile App
Flutter + Dart + Firebase
Flutter-based doctor appointment booking system with real-time scheduling
Agricultural LMS Platform
Django + React + PostgreSQL
Learning management system for agricultural education initiatives
Stadium Analytics Engine
Python + SQL + Pandas + Matplotlib
Data pipeline for global stadium metrics analysis and visualization
Cholera Prediction System
Python + Scikit-learn + Time Series Analysis
ML-powered outbreak forecasting system using epidemiological data
Environmental Impact Analysis
Python + GIS + CNN + Random Forest
Oil field environmental study with GIS mapping and ML models
AI Model Deployment Framework
AWS + Azure + Docker + GitHub Actions
Cloud-agnostic AI deployment pipeline with CI/CD integration
Quantum Computing Experiments
Qiskit + Python + Jupyter
Quantum algorithm implementations for optimization problems
Cardiovascular CNN Pipeline
Python + TensorFlow + CNN + AWS S3
End-to-end MLOps pipeline for cardiovascular disease prediction using deep learning
Environmental Impact Analyzer (CIMA)
Python + GIS + Random Forest + QGIS
Geospatial analysis platform for environmental impact assessments
Clinical Analytics Platform (CALU)
Django + React + Medical NLP
Healthcare analytics system for clinical data processing and visualization
Recipe API Service
Django REST + PostgreSQL + Docker
Scalable recipe management API with advanced search capabilities
Ba-Jubi Community Platform
Django + WebSockets + AWS EC2
Local community engagement system with real-time features
Technical Proficiency
A comprehensive toolkit refined through years of practical experience
Machine Learning
Deep Learning
Computer Vision
Quantum Computing
Data Analysis
GIS Mapping
Big Data Processing
MLOps
AWS
Azure
Docker
Kubernetes
CI/CD Pipelines
Python
R
Node.js
FastAPI
Django
RESTful APIs
SQL
PostgreSQL
MongoDB
React
Next.js
TypeScript
Flutter
Dart
Nginx
Shell Scripting
TDD
Git
GitHub Actions
Professional Journey
GS/IT Intern
Greater Pioneering Operating Company (GPOC) - Oil and Gas
- •Provide day-to-day technical support to GPOC employees, assisting with hardware and software issues.
- •Support the IT team in network troubleshooting and maintenance activities.
- •Assist in setting up and maintaining computer workstations, including installation of standard software packages.
MLOps Engineer
Intell+IP (USA), Remote
- •Developed and deployed AI and machine learning models for predictive health analytics using AWS and Azure cloud platforms.
- •Engineered robust data pipelines to efficiently process and analyze healthcare data, leveraging AWS services like S3, Lambda, and EC2.
- •Utilized Azure Machine Learning for model training and deployment, improving scalability and reducing computational costs.
- •Built and maintained a responsive web application using TypeScript, React, and Node.js to visualize health insights and predictions.
Environmental Analyst Intern
Superior Enterprises Ltd (South Sudan)
- •Led a comprehensive case study on the Unity Oil Field, analyzing 33 years of environmental and socioeconomic data.
- •Utilized GIS and statistical analysis tools to process and interpret complex spatial datasets.
- •Developed and applied machine learning models for environmental impact prediction, including Random Forest, SVM, and Time Series Analysis.
- •Conducted over 50 stakeholder interviews and surveys to gather qualitative data on community impact.
Download Resume
I can help deploy AI models, build predictive systems, or analyze environmental impacts using machine learning. Feel free to get in touch about MLOps or data pipeline challenges.
Want to Collaborate on AI Solutions?
LET'S CONNECT 🚀