Freelancer profile translated to English.

Description

Python engineer and software architect. I design sustainable systems that replace repetitive human operations — from SaaS to trading bots, from data pipelines to software/hardware bridges. Specializing in quantitative finance and data engineering. I design end-to-end trading systems: market data ingestion (Databento, Interactive Brokers, crypto exchanges), backtest engines with realistic cost modeling, rigorous out-of-sample validation, and execution bots with monitoring (Telegram, system, cloud deployment).

My current projects: Hiddengrid (SaaS studio, automation, hardware/software) and Reportly (automated reporting for marketing agencies: GA4, Meta Ads, actionable metrics).

I build and validate systematic trading systems in Python. My specialty: anti-overfitting rigor — I distinguish real edge from statistical artifacts, and I say it, even when the answer is unappealing.

Public and open-source example: github.com/Makeph/honest-backtest — a harness that tested 8 hypotheses on institutional data (Databento) and rigorously refuted them all in out-of-sample validation.

My services:

🔹 Strategy Audit — Does your strategy have a real edge? Out-of-sample validation, realistic cost model, clear verdict. Starting from €450 (1 d).

🔹 Market Data Pipeline — Ingestion/cleaning/storage (Databento, IBKR, crypto). The reliable foundation of any backtest. Starting from €900 (2-5 d).

🔹 Custom Backtest Engine — Tailored to your instruments, with realistic costs and integrated OOS validation. Starting from €2,200 (5-10 d).

🔹 Execution Bot + Monitoring — Go-live: execution, risk safeguards, Telegram alerts, robust cloud deployment. Starting from €2,500 (5-15 d).

Stack: Python, pandas/numpy, pytest, Databento, Interactive Brokers, SQLite, CI/CD, Linux/Hetzner.

Industry field of expertise

Languages

English
Native or bilingual
French
Native or bilingual
Japanese
Basic

Workplace preferences

Can work on-site

Paris (up to 50km)

hiddengrid.io
Development of automated systems (SaaS, data & hardware)
February 2026 - Today (4 months)
Hôtel de Ville, Paris, France
At Hiddengrid, I design and develop systems that replace repetitive human operations with robust, scalable, and sustainable solutions.

From internal SaaS to software/hardware bridges, from raw data to automated decision systems: I cover the entire chain, from architecture to production.

▸ AREAS OF EXPERTISE

— Architecture and development of SaaS products, from MVP to scaling.
— Design of data pipelines and decision systems: real-time ingestion, aggregation, scoring, automation.
— Automation of complex business processes: workflows, orchestration, observability, monitoring.
— Development and integration of hardware systems: interfaces, controllers, machines.
— Software/hardware connection: APIs, protocols, real-time streams.

▸ METHOD

Short cycles with regular demonstrations. Rigorous scoping beforehand, measurable prototype in the first week, deliverable iterations sprint by sprint. Documentation and observability integrated from day 1, not as an afterthought.

▸ STACK

Python 3.12 · asyncio · FastAPI · pandas · SQLite · Postgres · Docker · Linux/systemd · pytest · HTML/CSS/JS · React · MQTT · Modbus · serial/TCP protocols.

▸ RECENT ACHIEVEMENTS

— Internal SaaS for industrial and creative clients: Python back-end, real-time dashboards, public APIs.
— Automation of heavy operational processes: multi-source ingestion, deduplication, actionable report generation.
— Software/hardware bridges: machine control, equipment supervision, sensor integration to real-time dashboards.

▸ WHAT I DON'T DO

No disposable SaaS without architecture. No no-code only. No generic templates without added value.

▸ TERMS

€500 HT / day · Project flat rate negotiable upon scoping · SASU invoicing · Remote preferred, occasional travel to Paris · NDA accepted.
Automation Python REST APIs Back-End Development
Reportly
Founder / Product builder
September 2025 - Today (9 months)
Hôtel de Ville, Paris, France
I am developing an automated reporting tool to help marketing agencies quickly understand their performance. The problem: too much data, unreadable dashboards, and decisions made by approximation. What I am building: data aggregation (Google Analytics 4, Meta Ads) structuring and simplification of key metrics (ROAS, CPA, spend) automatic generation of readable reports in seconds performance-based decision logic Objective: to allow immediate understanding of what works — without analyzing complex dashboards. Stack: Python, APIs (GA4, Meta), automation, product logic.
L'axolotl
Self-employed
October 2015 - March 2026 (10 years and 5 months)
Hôtel de Ville, Paris, France
Working on various projects, from creating showcase websites to more structured development in React and Symfony. Development of websites for small businesses (WordPress) Design of dynamic interfaces with React Setting up backends with Symfony (API, data management) Front-end integration and optimization (HTML, CSS, responsive) Maintenance and evolution of existing projects Adaptation to heterogeneous environments (legacy / modern) Autonomous project management (from client request to launch)