Evans Micah

Evans Micah

Systems Engineer & Software Architect

Building scalable systems through mathematical logic, cybersecurity, and distributed computing.

About Me

I'm a Mathematics and Computer Science professional with expertise in building efficient and intelligent software systems. My background combines mathematical reasoning with practical software development to solve complex problems.

My mathematical foundation strengthens my ability to think analytically and design optimized algorithms. I leverage mathematical concepts to structure logic, analyze data, and develop scalable applications that perform efficiently at scale.

I specialize in problem solving, system optimization, and applying mathematical principles to build reliable software solutions that address real-world challenges and deliver measurable impact.

BSc Mathematics & Computer Science — Maseno University. Specializing in algorithmic thinking, system architecture, and computational problem solving.

Experience

Systems & Network Engineering Intern

Maseno University Internship (Professional Placement) • 3 months

Manam Limited | ICT / Networking Department

Vanguard Plaza, Westlands, Nairobi, Kenya

Focused on Systems Infrastructure & Network Logic, applying analytical thinking to optimize network topology, improve system performance, and resolve software and hardware challenges. Leveraged mathematical and computational background to enhance IT operations and deliver tangible results.

Key Achievements & Responsibilities

  • Optimized network infrastructure, reducing downtime and improving connectivity for over 100+ users
  • Installed and managed CCTV surveillance systems, ensuring robust security and seamless integration with IT operations
  • Designed, deployed, and troubleshot Wi-Fi networks and hotspot resale systems, improving network speed and reliability by over 30%
  • Diagnosed and resolved software and connectivity issues, enhancing operational efficiency and minimizing service interruptions
  • Maintained secure, scalable, and resilient IT systems, applying logical problem-solving to reduce errors and optimize workflow

Skills & Competencies Developed

Network Architecture & Topology Optimization
Systems & Software Troubleshooting
Infrastructure Design & Logical Analysis
Analytical Problem-Solving
Security & Scalable System Engineering

Skills

Technologies and tools I work with across the full stack

Frontend Development

React0%
HTML / CSS0%
Tailwind CSS0%
Vue.js0%
JavaScript0%

Backend Development

Python0%
JavaScript0%
PHP / Laravel0%
Go (Golang)0%
Spring Boot (Java)0%
ASP.NET Core (C#)0%
PostgreSQL0%
NestJS (TypeScript)0%

Mathematics

Calculus & Analysis0%
AxLinear Algebra0%
Discrete Mathematics0%
σProbability & Statistics0%
Numerical Methods0%
dy/dxDifferential Equations0%
G(V,E)Graph Theory0%
f(x)Mathematical Modelling0%
O(n)Algorithm Analysis (Big-O)0%
Cryptography & Number Theory0%

Design & Tools

Design & Visuals

FigmaAdobe XDCanvaStorybookTailwind CSSFramer Motion

Dev & Runtimes

VS CodeNode.jsBunDenoTypeScript

Backend & CMS

WordPressLaravelDjangoExpress.jsStrapi

Database & Infra

DockerKubernetesPostgreSQLMongoDBRedisSupabaseFirebase

DevOps & Workflow

GitGitHubPostmanVercelNetlifyGitHub Actionsnpmpnpmyarn

Systems Portfolio

Where Mathematical Logic Drives Computational Innovation

Algorithmic ThinkingSystem OptimizationLogical Architecture
Smart Sale Networking System preview
Video Demo

Smart Sale Networking System

A full-stack networking and digital commerce platform engineered with structured backend architecture and referral-driven system logic. The platform demonstrates the design of scalable user relationships, commission flows, and administrative infrastructure management.

Architecture Flow

  • User
  • Frontend (Vue/Nuxt)
  • API Gateway
  • Laravel Backend
  • MySQL
  • Queue Worker / Redis
Architecture:MVC
Database:Relational
Focus:Backend Logic

Overview

A full-stack networking and digital commerce platform engineered with structured backend architecture and referral-driven system logic. The platform demonstrates the design of scalable user relationships, commission flows, and administrative infrastructure management.

Challenge: Deliver a scalable referral commerce system with robust commission flow and fault tolerance.

Solution: Built Laravel backend with queue-driven transaction engine, real-time referral graph rules, and proactive monitoring dashboard.

Impact: Enabled performance to 150 req/s with 99.8% uptime and 35% referral growth in trial cohort.

Engineering Highlights

  • Designed hierarchical referral network structures and relationship mapping
  • Implemented commission calculation and distribution workflows
  • Built structured backend architecture using Laravel MVC principles
  • Developed administrative monitoring and control interfaces
  • Applied analytical reasoning to system workflows and infrastructure behavior

Mathematical Foundations

🌳
Graph Theory
Modeled referral networks as directed acyclic graphs (DAGs) for hierarchical user relationships
Recursive Algorithms
Calculated multi-level commission distributions using recursive tree traversal
Set Theory
Managed user permissions and role-based access control through set operations

Technology Stack

LaravelPHPMySQLJavaScript
Cybersecurity Incident Response System (CIRAS) preview
Video Demo

Cybersecurity Incident Response System (CIRAS)

A rule-based expert system engineered to assist with cybersecurity incident detection, classification, and remediation planning. The platform integrates Python application logic with Prolog-based inference rules to simulate structured cybersecurity reasoning.

Architecture Flow

  • User
  • Web UI / Dashboard
  • Flask API
  • Prolog Inference Engine
  • Threat Knowledge Base
  • Persistent Storage
Type:Expert System
Logic:Rule-Based
Domain:Cybersecurity

Overview

A rule-based expert system engineered to assist with cybersecurity incident detection, classification, and remediation planning. The platform integrates Python application logic with Prolog-based inference rules to simulate structured cybersecurity reasoning.

Challenge: Classify cybersecurity incidents quickly with minimal false positives from noisy data.

Solution: Developed Python/Prolog inference engine with rule-based reasoning and Flask API for dynamic threat scoring.

Impact: Reduced analysis time by 60% and improved incident classification accuracy to 92% in PoC testing.

Engineering Highlights

  • Designed rule-based inference logic for incident classification
  • Integrated Python application architecture with Prolog knowledge base
  • Implemented automated remediation recommendation workflows
  • Built an analytical dashboard for incident monitoring and evaluation
  • Demonstrated expert system design principles and knowledge-based reasoning

Mathematical Foundations

Propositional Logic
Implemented rule-based inference engine using logical AND/OR operations for threat detection
First-Order Logic
Designed Prolog predicates with universal quantifiers for pattern matching across incidents
Conditional Reasoning
Built if-then rule chains for automated remediation recommendation workflows

Technology Stack

PythonPrologFlaskKnowledge-Based Systems
Anonymous Mental Health Communication Platform preview
Video Demo

Anonymous Mental Health Communication Platform

A real-time anonymous communication platform designed to reduce barriers to mental health engagement through privacy-first system design and secure live messaging.

Architecture Flow

  • User
  • Frontend (React)
  • Django REST API
  • WebSocket Server (Django Channels)
  • Redis Pub/Sub
  • PostgreSQL
Protocol:WebSocket
Privacy:Anonymous
Type:Real-Time

Overview

A real-time anonymous communication platform designed to reduce barriers to mental health engagement through privacy-first system design and secure live messaging.

Challenge: Support real-time anonymous messaging with privacy safeguards and low latency.

Solution: Built React + WebSocket frontend with Django Channels backend, encrypted transient sessions, and rate controls.

Impact: Delivered sub-100ms message latency under 500 concurrent users and 0 customer data stored persistently.

Engineering Highlights

  • Implemented real-time communication using React and WebSocket architecture
  • Built a Django-based backend for secure session and message handling
  • Designed privacy-oriented user interaction flows with minimal identity exposure
  • Developed scalable frontend interaction components for live chat systems
  • Focused on accessibility, anonymity, and secure digital interaction

Mathematical Foundations

Cryptographic Hashing
Applied hash functions for anonymous session ID generation without storing user identities
Asynchronous Processing
Optimized WebSocket message queues using event-driven architecture for real-time delivery
O(1)
Time Complexity
Designed constant-time message routing using hash-based session lookup tables

Technology Stack

React.jsPythonDjangoWebSocketsMySQL

Concept Designs

Architecture Prototypes

Explore advanced system designs & architectural concepts

2 ProjectsSystem Design

Client & Peer Feedback

Real-world reviews from colleagues, clients, and collaborators that highlight technical expertise and delivery excellence.

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Systems Developed

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Technologies Used

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Projects Deployed

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Systems Architecture Focus

Evans approaches system development with the mindset of an engineer rather than just a programmer. When reviewing his Cybersecurity Incident Response System, I was impressed by how he combined logical rule-based reasoning with practical software architecture.
JK

John Kamau

Senior Systems Engineer · Westlands, Nairobi

Featured
Evans built a real-time anonymous communication platform that demonstrates strong full-stack capability. The integration of React for live messaging with a Python backend shows thoughtful architectural decisions.
AN

Amina Njeri

Full-Stack Developer · Kilimani, Nairobi

What stands out about Evans is his ability to connect theoretical knowledge with real infrastructure challenges. During discussions around network topology and hotspot distribution systems, he demonstrated practical strategies for optimizing connectivity and maintaining reliable systems.
DO

David Otieno

Network Infrastructure Specialist · Upper Hill, Nairobi

Evans' work clearly reflects a strong foundation in mathematics and logical reasoning. His ability to translate analytical thinking into software systems — particularly in areas like cybersecurity inference engines and scalable web platforms — is impressive.
RW

Ruth Wambui

Technology Research Collaborator · Nairobi

Professional references and collaboration feedback available upon request

Contact me for an up-to-date list of referees and collaboration review summaries.

Algorithm & Mathematical Visualization

Visualizing computational processes to understand, analyze, and communicate algorithmic logic

Bubble Sort

Demonstrates comparison-based sorting by repeatedly swapping adjacent elements

Time Complexity: O(n²)
Comparisons=n(n1)2\text{Comparisons} = \frac{n(n-1)}{2}

Get In Touch

Let's discuss opportunities, collaborations, or innovative ideas