Back to Team
Alex Anyega

Alex Anyega

Founder & Head of Research

Full-Stack Engineer, Quantitative Researcher, and Founder of Tickflow Capital. Building production-grade trading systems with live capital deployment. Specialized in walk-forward validation, risk management infrastructure, and quantitative research methodology.

Email anyega.alex.kamau@gmail.com
Location Nairobi, Kenya
Download Resume (PDF)

Professional Experience

Founder & Head of Research

January 2026 – Present

Tickflow Capital Limited · Nairobi, Kenya

Founded a quantitative trading firm with live capital deployment. Architected the TIES platform combining rigorous backtesting, multi-layer risk management, and systematic research methodology.

  • Designed walk-forward validation framework achieving 75% pass rate across 4 independent test windows (2020-2024)
  • Engineered 7-layer risk management system with automated kill switches, daily budget gates, and drawdown controls
  • Built production trading infrastructure with PostgreSQL, Redis, real-time monitoring (Prometheus/Grafana), and Cloudflare security
  • Developed XAUUSD trading strategy validated with t=2.406 (p=0.017) and 98.6th percentile Monte Carlo ranking

Full-Stack Developer

February 2025 – Present

Digital Dynamo Kenya · Nairobi, Kenya

Developing Django/React.js applications with focus on ML integration, data-driven insights, and performance optimization.

  • Built stock prediction platform using FinBERT NLP achieving 72% sentiment analysis accuracy
  • Designed AI-driven budgeting app with responsive React.js frontend and Firebase backend
  • Optimized query performance by 50% via Redis caching and PostgreSQL indexing
  • Improved SEO rankings and organic traffic by 50% through technical optimization

Blockchain Software Developer

February 2025 – September 2025

Vyudu Inc. · United States (Remote)

Architected API orchestration framework with multi-layer fallback, rate-limit resilience, and cost governance controls.

  • Designed priority-based routing with fallback chains (API → Cache/DB → LLM → Fail-safe)
  • Implemented cost governance for third-party providers with automated budget enforcement
  • Built rate-limit resilient handling with exponential backoff for 429 errors
  • Achieved 100% test coverage for orchestration components with pytest and dependency injection

Technical Support Engineer (Intern)

June 2024 – August 2024

Kingdom Sacco Society Limited · Nairobi, Kenya

Provided frontline technical support for banking systems with focus on system reliability and operational continuity.

  • Diagnosed and resolved hardware, software, and network issues across banking platforms
  • Maintained internal IT infrastructure and streamlined support workflows
  • Earned formal commendation for professionalism, integrity, and punctuality

Technical Skills

Quantitative

  • Walk-Forward Validation
  • Statistical Testing (t-test, p-values)
  • Monte Carlo Simulation
  • Backtesting Frameworks
  • Risk Management Systems
  • Time Series Analysis

Backend

  • Python & Django
  • REST APIs
  • PostgreSQL
  • Redis & Caching
  • Asynchronous Workflows

Frontend

  • React.js & Hooks
  • JavaScript (ES6+)
  • HTML5 & CSS3
  • TailwindCSS
  • D3.js & Chart.js

Machine Learning

  • NLP (spaCy, FinBERT)
  • Scikit-learn
  • TensorFlow
  • Model Validation
  • SHAP Explainability

Infrastructure

  • Docker & Containerization
  • Cloudflare (CDN, Tunnel, DDoS)
  • CI/CD Pipelines
  • Linux/Ubuntu
  • VPS Security & Hardening
  • MT5 Integration

Soft Skills

  • Problem Solving
  • Analytical Thinking
  • Technical Communication
  • Collaboration & Leadership
  • Adaptability & Learning

Core Projects

TIES Platform

Production quantitative trading platform with walk-forward validation framework, 7-layer risk management system, and live capital deployment. Built with Python, PostgreSQL, Redis, MT5 integration, and real-time monitoring dashboards.

Learn more →
Python Quantitative Risk Management

Budget Buddy

AI-driven personal finance platform with smart budgeting logic, expense categorization, and predictive financial insights. React.js frontend with Firebase backend.

View Project →
React.js Firebase ML

Stock Prediction Platform

ML-driven forecasting using FinBERT sentiment analysis and technical indicators. HistGradientBoosting classifier with 75% F1-score and interactive visualizations.

View on HuggingFace →
NLP Scikit-learn Gradio

Sentiment-Driven Stock Prediction

Real-time sentiment analysis from financial news using FinBERT (92% accuracy). Asynchronous data pipelines with Celery and Redis for real-time processing.

View Project →
FinBERT Celery Redis

Published Research

Walk-Forward Validation for Systematic Trading

Rolling window methodology, statistical significance testing (t=2.406, p=0.017), and Monte Carlo analysis for detecting overfitting before live deployment.

Read article →
Methodology Statistics

Operational Security for Trading VPS

SSH hardening, firewall configuration, secrets management, Docker isolation, and remote kill switch implementation for algorithmic trading infrastructure.

Read article →
Security Infrastructure

Education

Bachelor of Science in Computer Science
Maasai Mara University · Narok, Kenya
2021 – 2025 · Second Class Upper Division
Relevant Coursework
Data Structures & Algorithms · Machine Learning · Database Systems · Statistical Analysis · Web Development

"Every system we build is used with real capital before it is offered externally. We eat our own cooking. This is the foundation of Tickflow Capital — rigorous, tested, production-grade trading systems."

Alex Anyega
Founder & Head of Research, Tickflow Capital

Connect with Alex

Interested in discussing quantitative research, trading systems, or engineering challenges?

Send Email GitHub LinkedIn Tickflow Contact