Hi, I'm

Apostolos Dedeloudis

I build at the intersection of quantitative finance and machine learning. From pricing models to intelligent LLM routing. I like hard problems that need both math and code.

Currently building Agentlify—a platform that cuts LLM agent costs by 50% using reinforcement learning.

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Experience

June 2025 — July 2025

Athens, Greece

Market Risk Intern

Alpha Bank

Built proprietary pricing models for commodity futures & swaps. Quantified exposure on €500M+ fixed-income portfolios via PFE, xVA, and VaR.

  • Engineered proprietary pricing models for commodity futures & swaps using Machine Learning and Mean-Reversing Regressive models to support internal valuation and satisfy EU requirements for PRIIPs.
  • Quantified exposure on fixed-income portfolios via PFE, xVA and VaR analytics, then sized and back-tested hedges that reduced potential loss by double-digit percentage points.
  • Collaborated with front office and compliance teams to migrate to a new reporting pipeline, enhancing transparency and decision-making for €500M+ in AUM.
PythonMachine LearningVaRPFExVA

June 2024 — July 2024

Athens, Greece

Data & Analytics Intern

KPMG Advisory

Designed ETL pipelines for government institutions. Mapped 25 BI reports across PowerBI, Tableau, and Qlik into clean source-to-target docs.

  • Actively contributed to the planning and implementation of ETL pipelines for corporations and government institutions.
  • Analyzed 25 reports from various Business Intelligence tools (PowerBI, Tableau, Qlik) and produced source-to-target mappings, outlining the connections between various databases and tables.
  • Produced client deliverables presenting implementation roadmaps and blueprints for future projects.
ETLPowerBITableauQlikSQL

June 2022 — July 2022

Athens, Greece

Software Development Intern

DEMO Pharmaceuticals S.A.

Partnered with devs to digitize business workflows, boosting efficiency by 30%. Designed data pipelines for ML-based supply chain optimization.

  • Partnered with developers to develop internal tools that digitize business workflows, enhancing process efficiency by 30%.
  • Developed back-end and front-end applications that utilized the company's existing data pipelines.
  • Designed new data pipelines to support ML training for supply chain management.
JavaScriptPythonMLData Pipelines

Projects

Agentlify

July 2025

Full-stack platform that builds and optimizes LLM agents end-to-end. Uses GMM clustering and multi-armed bandit RL to route each agentic step to the right model — cutting costs by 50% with only ~5% performance trade-off.

50%

Cost Reduction

~5%

Drop in Eval Score

PythonReactLLMsRLGMMBayesian
Live CodeCase Study
Aegis

February 2026

Open-source control plane for AI agents. Enforces least-privilege capability policies, builds cryptographic audit logs of every action, and makes every run deterministically replayable for debugging and compliance.

Least-Privilege

Policy Engine

Cryptographic

Audit

GoPythonSQLiteDockergRPC
CodeCase Study
ClawPane

January 2026

Smart model routing for OpenClaw. Automatically selects the best LLM for each agent request based on cost, speed, and quality — drop-in setup in under 5 minutes.

<5 min

Setup Time

Automatic

Routing

TypeScriptReactNext.jsLLMsOpenClaw
LiveCase Study
Flowsage

November 2023 — June 2025

AI-powered flowchart and diagram tool. One click to turn complex processes into clean visualizations. Made flowchart creation 90% faster than doing it by hand.

90%

Speed Improvement

12,000

Active Users

AIReactNode.jsLLMs
LiveCase Study

Education

Bocconi University

B.Sc. in Economics, Management, and Computer Science

September 2023 — Present · GPA: 27.20/30

Pierce, The American College of Greece

International Baccalaureate (IB) & Greek High School Diploma

September 2017 — May 2023 · IB: 43/45

Research

The Portable Text Annotation Tool

University of Michigan · December 2022

Artificial IntelligenceNatural Language ProcessingLLM Evals

Skills

PythonTypeScriptSQLGoDeep LearningReinforcement LearningNLP / LLMsLLM EvalsRAG PipelinesDerivatives PricingRisk AnalyticsMonte CarloStochastic CalculusDockerReact

Languages

EnglishNative
GreekMother Tongue
FrenchUpper Intermediate
SpanishIntermediate
ItalianLimited Working Proficiency

Courses

Introduction to Financial Engineering and Risk Management · Columbia University

Finance & Quantitative Modeling for Analysts · Wharton Business School

AmplifyME Finance Accelerator · In partnership with Morgan Stanley & UBS

Connect

Let's talk.

I'm always up for a conversation about quantitative finance, ML systems, or interesting engineering problems. Drop me a line.

apostolosded@gmail.comLinkedInGitHubResume

Leadership

Head of Research

Bocconi Statistics and Data Science Association

Co-Founder / Head of Research

Bocconi Students for Quantitative Finance

Co-Founder / Head of IT & Mentors

theHackLab Bocconi Students

© 2026 Apostolos DedeloudisBuilt with Next.js