Quant Developer & Full-Stack Web3 Engineer | DeFi, AI & Blockchain Systems | Rust • Go • React • Solidity • Node.js • Cloud-Native Infra

Jayson Ashioya

Quant Developer & Full-Stack Web3 Engineer | DeFi, AI & Blockchain Systems | Rust • Go • React • Solidity • Node.js • Cloud-Native Infra

Available to hire

Quant Developer & Full-Stack Web3 Engineer | DeFi, AI & Blockchain Systems | Rust • Go • React • Solidity • Node.js • Cloud-Native Infra

Language

Work Experience

Full Stack Developer at Quantlabs Africa
July 1, 2020 - June 30, 2025
Software Architect (CTO) at Debt FICO
October 1, 2024 - March 31, 2025
Full-Stack Software Developer at ZulaFlow
July 1, 2025 - Present

Education

BSc. in Actuarial Science(With IT) at Maseno University
May 1, 2013 - December 11, 2016
MSc. in Development Finance at KCA University
September 11, 2023 - December 11, 2025
MSc. in Financial Engineering at WorldQuant University
July 1, 2024 - December 31, 2026

Qualifications

Certificate in Quantitative Finance (CQF)
July 1, 2018 - December 1, 2018

Industry Experience

Software & Internet, Agriculture & Mining, Financial Services, Gaming, Media & Entertainment, Telecommunications, Professional Services, Transportation & Logistics, Other, Consumer Goods, Manufacturing, Healthcare, Energy & Utilities, Travel & Hospitality, Real Estate & Construction, Retail, Wholesale & Distribution, Non-Profit Organization, Education
    paper Optimized AI Robo-Credit Underwriter with Multi-Agent RL & Risk-Aware Learning

    AI-driven credit underwriting system combining Machine Learning (ML) & Reinforcement Learning (RL) to optimize loan approvals while managing risk: Credit Risk Prediction via Random Forest model; PPO & DQN for dynamic risk control; Custom OpenAI Gym Environment for simulating real-world lending scenarios & FastAPI real-time processing.

    paper QuantumFX Platform: Modular, High-Performance FX Risk Analytics & Scenario Engine

    The next-generation open-source platform for quantitative FX risk modeling, scenario analysis, and regulatory stress testing.