ENOCK MECHEO
I am a Computer Science student and aspiring Software Engineer with a strong focus on data-driven systems, distributed systems, machine learning, and MLOps.
I enjoy working at the intersection of software engineering and data, where I can design robust, distributed architectures, optimize workflows, and deploy intelligent solutions in production.
Relevant Coursework
I have completed relevant coursework in Data Structures, Algorithms, Software Engineering, Database Design, Operating Systems, Computer Networking, and Mobile Development - including advanced coursework in Algorithmic Foundations of Data Science where I have studied distributed computing, streaming algorithms, and large-scale data processing.
Industry Experience
5+ internships where I have worked on QA, DevOps, and Web Development - building production-ready systems and applications from concept to deployment.
TECHNICAL EXPERTISE
Data Science & ML
Full-Stack Development
Mobile & Systems
Software Engineering
Cloud & Infrastructure
Testing & QA
Big Data Algorithms
FEATURED PROJECTS
Machine Learning & AI Projects
MMS Finance
AI-powered portfolio optimization platform with real-time data processing and advanced ML algorithms.
AYN
AI-powered visual assistant for visually impaired users with real-time object detection and navigation.
Web Development Projects
CloudTrace
High-performance network analysis tool for cloud provider benchmarking with ICMP socket implementation.
AssignFlow
Robust task management platform with Node.js/Express stack and MongoDB integration.
Calming Space
Full-stack meditation and relaxation application with personalized mindfulness features.
Mobile Development Projects
MapJournal
iOS location sharing app built with SwiftUI for discovering and sharing favorite places.