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We design, build and ship high-stakes software.
SaaS, quant systems and trading platforms. From strategy to production, delivered by a senior engineer.
A trader and portfolio manager turned quant dev, who runs his own capital and ships your systems himself.
What kind of engagement?
I work on substantial, end-to-end projects. No micro-tasks or one-off fixes.
- Substantial engagements, from design to deployment.
- High-stakes technical or financial projects, where market expertise matters as much as code.
- One senior point of contact: no need to translate between a quant and a dev, it's the same person.
- Quality over volume: I only take on a limited number of projects at a time.
What we build
We build robust, scalable software: from backend and cloud infrastructure to financial tools, business apps and data-driven interfaces.
Data & Quant Engineering
- → ML models for trading algorithms and predictive analytics
- → Backtesting frameworks and risk management systems
- → High-performance Python libraries with C++ integration
- → Data pipelines and infrastructure (SQL, MongoDB, Redis)
Backend & API Development
- → Scalable Django backends with RESTful APIs
- → Cloud-Based SaaS architecture
- → Database optimization and intelligent caching strategies
- → Production AWS infrastructure (EC2, ALB, RDS, S3)
Product Interfaces & Dashboards
- → Data-heavy FrontEnds with React/Next.js
- → Dashboards, CRM, back-office and custom business tools
- → Clean UI design from Figma to production deployment
- → Real-time data display with charts and advanced filtering
Custom Systems & Performance Engineering
- → Bespoke automation and hybrid Python/C++ systems
- → Performance optimization for latency-critical applications
- → Custom tools and PoCs for complex requirements
- → Architecture refactoring for computationally intensive tasks
Our tech stack
The technologies we run in production, from backend and infra to the front-end.
How we work together
1. Scoping call
We clarify your need, constraints and goal. Free, no strings attached.
2. Proposal
We come back with an approach, a clear scope and a delivery plan.
3. Build
We build in production conditions, with regular check-ins and visibility at every step.
4. Delivery & support
Go-live, documentation and support so it keeps running over time.
Selected work
“Robust, scalable software and financial tools: explore our work across full-stack, data and fintech projects.”
MindStk.io
Project Spec
Not a dashboard. Not a terminal. The data layer between your stack and your edge. Structured fundamentals, A-Score signals, and AI research queryable via REST, MCP, or Python SDK.
TechStack
API & MCP server to power your equity research and strategy.
Polyquid
Project Spec
Polyquid is a prop firm powered by Django, FastAPI, and Next.js, letting you trade on Polymarket and Hyperliquid from a single account.
TechStack
Polyquid lets you trade Polymarket and Hyperliquid with a single account
Analystock.AI
Project Spec
Analystock.ai is an AI-driven financial platform designed to streamline market research through automated fundamental analysis and real-time sentiment tracking.
TechStack
Django Web app for AI-powered equity research
CodeMarket Website
Project Spec
CodeMarketLabs is a platform built around algorithmic trading and financial software development — covering proprietary Python libraries, SaaS architecture, coding programs, and strategic consulting for those building seriously in the markets.
TechStack
Quant trading ecosystem for traders and developers
- QuantKit
Project Spec
quantkit covers the full pricing stack — stochastic models calibrated via FFT, a Black-Scholes Greeks engine, multi-leg portfolio management with interactive dashboards, and a rates toolkit spanning Nelson-Siegel, Hull-White, and Vasicek.
TechStack
Python library for quant analysts and derivatives traders
- MarketConnect Exec
Project Spec
marketconnect-exec provides a unified interface to Deribit and Interactive Brokers — covering order management, positions, account data, market data, and derivatives analytics through a single, consistent API.
TechStack
Python library for quant traders and portfolio managers
Equity Curve
Project Spec
equity-curve covers the full strategy analysis pipeline — 30+ risk and performance metrics, distributional statistics, econometric tests spanning stationarity, autocorrelation and cointegration, and interactive Plotly dashboards exportable to HTML or PNG with dark and light themes.
TechStack
Python library for quantitative analysts and portfolio managers
Testimonials
Endorsements from past clients
Antoine developed both the frontend and backend for Polyquid (Prop firm) and is an exceptional full-stack engineer. He designed and deployed our production architecture on AWS, including the API, risk engine, and payment integrations. Autonomous and meticulous, he delivers clean code and prioritizes scalability and security from the outset. He quickly grasps business requirements; he is not just someone who executes tasks, but a genuine technical partner. His communication is clear and professional, and he meets deadlines. I would unhesitatingly recommend him to any team looking for a reliable senior developer for demanding fintech or infrastructure projects.
Antoine is a rare find. He possesses a deep understanding of quantitative finance coupled with top-tier Python development skills. He didn't just write code; he architected a robust, scalable solution for our algorithmic trading needs. His ability to translate complex financial models into efficient, clean, and bug-free code is impressive. If you need someone who speaks both 'trader' and 'developer' fluently, Antoine is your guy. Highly recommended for any high-stakes fintech project.
I highly recommend Antoine. As Tech Lead at Analystock, he built our platform from the ground up, leading full-stack development, system architecture, and key integrations, including payment systems like Stripe. Antoine combines excellent technical skills with strong product and business judgment. He is autonomous, reliable, and consistently delivers high-quality work. He is the kind of technical partner every founder hopes to have. I would gladly work with him again.
Let's get in touch
“A project or a question? Reach out, we're ready to help.”