Alex Anyega
Full-Stack Engineer and FinTech founder with 5+ years experience building AI-enhanced web applications and algorithmic trading systems. Founded TickFlow Capital, developing quantitative trading models achieving 45.4% net returns with 2.096 Sharpe ratio across 7-year backtests.
Professional Experience
Founder & Lead Engineer
January 2026 – PresentTickflow Capital · Remote
Founded algorithmic trading firm developing quantitative strategies for XAUUSD and other instruments; architected end-to-end trading infrastructure including backtesting framework, live execution engine, and performance analytics platform.
- Developed TIES algorithmic trading framework achieving 45.4% net returns with 2.096 Sharpe ratio across 182 trades in 7-year backtest (2018-2024)
- Engineered walk-forward validation system with 75% pass rate across 4 out-of-sample windows
- Implemented Monte Carlo simulation with 98.4% probability of positive returns
- Built real-time performance dashboard serving 75 active users in first 30 days
Full-Stack Developer
October 2021 – PresentDigital Dynamo Kenya · Kenya
Architected sentiment-driven stock prediction platform and AI-powered applications with focus on performance optimization and machine learning integration.
- Built sentiment-driven stock prediction platform using Django/React.js with 92% F1-score sentiment classification using FinBERT
- Engineered Budget Buddy AI-powered budgeting app serving 500+ beta users with 60% monthly active retention
- Optimized query latency from 2.4s to 1.2s (50% improvement) through Redis caching
- Reduced page load times from 3.2s to 2.1s via image compression and lazy-loading
Blockchain Software Developer
February 2025 – September 2025Vyudu Inc. · United States (Remote)
Architected API orchestration framework with multi-layer fallback, rate-limit resilience, and cost governance controls for blockchain infrastructure.
- 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
ICT Support Attaché
June 2024 – August 2024Kingdom Sacco Society Limited · Nairobi, Kenya
Provided frontline technical support for banking systems supporting 10,000+ members with focus on system reliability and operational continuity.
- Resolved technical issues across hardware, software, and mobile banking platforms achieving 95% first-contact resolution rate
- Maintained core banking application with 99.5% system availability
- Reduced security vulnerabilities by 60% through patch management implementation
- Received formal commendation for integrity and dedication to responsibilities
Technical Skills
Financial Technology
- Algorithmic Trading Systems
- Walk-Forward Validation
- Monte Carlo Simulation
- Risk Management Systems
- Sharpe/Sortino/Calmar Ratios
- Backtesting Frameworks
Programming Languages
- Python (5+ years)
- JavaScript (ES6+)
- TypeScript
- SQL
- HTML5 & CSS3
Frameworks & Libraries
- React.js, Next.js
- Django, FastAPI
- Node.js, Express
- D3.js, Chart.js
- TailwindCSS
AI & Machine Learning
- NLP (spaCy, FinBERT, Hugging Face)
- TensorFlow, Scikit-learn
- Time Series Analysis
- Bayesian Optimization
- SHAP Explainability
DevOps & Infrastructure
- Docker, Kubernetes
- AWS (EC2, S3, RDS, CloudFront)
- Cloudflare (CDN, Tunnel, DDoS)
- CI/CD (GitHub Actions)
- Prometheus, Grafana
Data Engineering
- PostgreSQL (5+ years)
- Redis (3+ years)
- Firebase
- Dask, Celery
- Pandas, NumPy
Core Projects
TIES Algorithmic Trading Framework
Event-driven backtesting engine processing 7 years of tick data with walk-forward optimization, Monte Carlo simulation, and live execution deployment. Achieved 45.4% net returns with 2.096 Sharpe ratio.
Learn moreBudget Buddy AI
AI-driven personal finance platform with expense categorization, spending recommendations, and predictive financial insights using GPT-4 and scikit-learn. 500+ beta users with 60% monthly retention.
View ProjectSentiment-Driven Stock Prediction
Real-time sentiment analysis from financial news using FinBERT (92% F1-score). Asynchronous data pipelines with Celery and Redis for sub-minute ingestion of 10,000+ articles daily.
View ProjectCost-of-Living Explorer
Interactive data visualization platform processing 100,000+ global data points across 200+ cities. Dask for memory-efficient ingestion with 80% reduction in peak memory usage.
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 articleOperational Security for Trading VPS
SSH hardening, firewall configuration, secrets management, Docker isolation, and remote kill switch implementation for algorithmic trading infrastructure.
Read articleEducation & Certifications
"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."
Connect with Alex
Interested in discussing quantitative research, trading systems, or engineering challenges?