Applied AI Researcher | Katalon & UoL
SYSTEM ONLINE

Engineering
Intelligence.

Applied AI Researcher bridging Computer Science, Finance & Economics.

> CURRENT_STATUS: OPERATIONAL
> LOCATION: KATALON LABS
> EDUCATION: UNIVERSITY OF LONDON
ID: APPLIED_AI_RESEARCHER
FOCUS: APPLIED_AI_OPTIMIZATION

01 // THE HYPOTHESIS

The problem: Technology often lives in isolation—brilliant code without business context, financial models without scalable infrastructure.

My approach: I call it "Fingerspitzengefühl"—an intuitive feel for both the technical "how" and the economic "why." With dual degrees in Computer Science (UoL) and Economics & Finance (LSE), I build AI systems that don't just work—they understand why they matter.

Why automate? "Why do it the hard way when we can let AI handle the heavy lifting?" At Katalon, I translate this philosophy into production-ready automation that frees humans for the creative work.

LLM
AGENTS & AUTOMATION
QUANT
FINANCIAL ANALYSIS
DIGITAL TRANSFORMATION OPTIMIZED

02 // EXPERIMENTAL DATA

LOG_ACCESS: GRANTED
STATUS: ACTIVE

Applied AI Researcher | ITDx

JUL 2025 - PRESENT
Katalon //
  • Engineered LLM automation agents, reducing Ops manual processing time by 30%.
  • Conducted Quantitative Analysis on tool efficiency, driving data-backed licensing consolidation.
STATUS: ACTIVE

Founder | SeedWisely

NOV 2025 - PRESENT
FinTech Startup //
  • Architected a multi-platform solution from scratch using Flutter & Python.
  • Leveraged AI/Automation to solve daily user pain points, from concept to live product.
  • Orchestrated a lean, distributed team using async workflows for consistent sprint delivery.

IT Operations Engineer

OCT 2024 - JUL 2025
Katalon // Infrastructure
  • Automated device management via Python/Bash scripts, reducing onboarding latency from 48h to 2h.

03 // THE INSTITUTE

ACADEMIC_RECORDS
MIT
DEC 2025

MIT Sloan School of Management

Pre-Master Programme
Data Science Finance
LSE
2023

London School of Economics

BSc Economics and Finance
Macro/Micro Econometrics
UoL
2022-2026

University of London

BSc Computer Science
Algorithms Machine Learning

04 // RESEARCH LOGS

[ENCRYPTED] SORT: DATE_DESC
LOG_ID: #8821A
AI AGENTS OCT 12, 2025

Optimizing Context Windows in FinTech LLMs

Investigating retrieval-augmented generation (RAG) strategies to handle extensive financial reports without losing context fidelity.

ACCESS_FILE >>
LOG_ID: #8822B
ECONOMETRICS SEP 28, 2025

The Alpha in Algorithms

A quantitative analysis of market volatility prediction using LSTM networks versus traditional GARCH models.

ACCESS_FILE >>
LOG_ID: #8823C
AUTOMATION AUG 15, 2025

Building the "Self-Healing" IT Infrastructure

How I used Python scripts and Jamf webhooks to create an automated remediation loop for 500+ endpoints.

ACCESS_FILE >>

Research inquiries, collaboration proposals, or discussion on the intersection of AI and Finance.

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Design: Jackson William Davies