🧠 Engineer by training, Pythonista by passion, and a backend architect specializing in fintech infrastructure.
I build scalable systems that make financial data actionable, trustworthy, and profitable — because precision doesn’t stop at pipelines or portfolios. ☕
- 🏦 Backend Development – API-first architectures using FastAPI, Flask, PostgreSQL, and SQLAlchemy
- 💸 Fintech Applications – Budgeting, cost intelligence, and risk-modeling tools bridging finance and software engineering
- 📊 Quantitative Analytics – Monte Carlo simulations, portfolio optimization, and risk modeling
- ⚙️ Data Infrastructure – Schema design, caching, and scalable deployment pipelines
- 🔍 Applied ML in Finance – Credit risk scoring, forecasting, and time-series modeling
| Category | Tools |
|---|---|
| Languages | Python, SQL |
| Frameworks | FastAPI, Flask, Django, SQLAlchemy |
| Data & ML | Pandas, NumPy, Scikit-Learn |
| Databases | PostgreSQL, MySQL, SQLite, DuckDB |
| Infra & DevOps | AWS (in progress), Heroku, Vercel, Docker (in progress), GitHub Actions |
| Workflow | Git, Conda, uv, Poetry |
| Docs & Notebooks | JupyterLab, Quarto, PyCharm, DataSpell |
A backend-first financial application with secure authentication, normalized relational models, email workflows, and environment-based configuration. Built for real deployment—not demos.
- Status: 🟢 Near-deploy (AWS RDS + production config in progress)
- Stack: Flask, PostgreSQL, SQLAlchemy, Redis/Flask-Session, SendGrid
- Highlights: Multi-budget logic, frequency normalization engine, password reset flow, live weather API
- Goal: Demonstrate end-to-end backend architecture, user auth, cloud deployment prep, and database-driven state
A FastAPI-powered cost intelligence platform for querying and analyzing civil bid-item pricing across large datasets. Designed for engineers, contractors, and analysts who need rapid access to structured cost data.
- Status: ⚙️ In Progress
- Stack: FastAPI, SQLAlchemy, PostgreSQL, JWT Auth, AWS RDS
- Features:
- RESTful API endpoints for cost queries
- Hierarchical model relationships (Projects → Items → Costs)
- Authentication via JWT and secure session logic
- Potential Snowflake OLAP integration
- Goal: Deliver high-performance backend architecture for cost data analytics
A backend platform for model lifecycle management, experiment tracking, and ML observability—designed with a docs-first architecture approach.
- Status: 📝 Architecture complete, implementation beginning
- Stack: FastAPI, PostgreSQL, Docker, MLflow/W&B (planned), GitHub Actions
- Highlights: Service boundary diagrams, structured milestones, risk planning, backend-oriented design review docs
- Goal: Demonstrate platform thinking, backend-ML integration, and architecture-before-code maturity
A backend platform which is a quantitative modeling engine for Monte Carlo simulation, asset allocation optimization.
- Status: ⚙️ In Progress
- Stack: Python, NumPy, Pandas, SciPy, Matplotlib
- Features:
- GBM and mean-reverting process simulation
- Mean-variance and utility-based optimization
- Scenario stress testing and backtesting
- Quarto-based documentation for transparency
- Goal: Deliver reproducible, auditable financial model pipelines
- Default Detect – SHAP interpretability + Flask API deployment
- Pencils & Python: Derivatives in the Real World – Turning calculus into code for financial modeling
- NASA SpaceApps Project – Applied ML meets real-world climate data
| Domain | Focus | Explore |
|---|---|---|
| Brice Backend Projects | Backend APIs, authentication systems, and cloud-ready Python services | Repos » |
| Brice Financal Projects | Fintech apps — budgeting, cost intelligence, and portfolio modeling | Repos » |
| Brice Engineering Projects | Civil engineering data systems, cost analytics, and automation tools | Repos » |
| Brice Machine Learning Projects | ML pipelines, credit risk modeling, and predictive analytics | Repos » |
| Pencils & Python | Educational repos blending math, finance, and Python | Repos » |
- Portfolio → www.devbybrice.com
- Blog → Medium: The Quant Shift
Seeking backend or fintech engineering roles focused on:
- Building secure, performant APIs and data pipelines
- Applying statistical and ML methods to financial risk modeling
- Modernizing legacy financial systems with Pythonic precision
I’ve designed water systems beneath streets and risk models beneath spreadsheets.
Both rely on flow, pressure, and a good set of boundary conditions. 🏗️📈
Because engineering isn’t just about APIs and abstractions — sometimes it’s about laughter, cosmic mysteries, and letting curiosity lead the way.
An interactive, edge-powered Mad Libs generator that lets users create absurd stories, vote on premium upgrades, and soon unlock a full-fledged story editor.
A quirky blend of Next.js 16, Turso SQLite Edge DB, and your backend-first architectural style.
🔗 Repo: Mad Libs Magic Repo
Highlights:
- Dynamic routing + story builder
- Turso-powered analytics and poll collection
- Premium upgrade path and future AI-enhanced editor
- A surprisingly robust engineering stack… for a decidedly un-serious app 😄
A physics-inspired exploration of the Fermi Paradox using probabilistic modeling and simulation logic.
Part astrophysics, part mathematics, part “why on Earth haven’t we met aliens yet?”
🔗 Repo: Fermi Paradox Repo
Highlights:
- Probabilistic universe modeling
- Drake-equation–style parameterization
- Simulation-driven search for extraterrestrial “Where is everybody?” answers
- A perfect blend of your love for physics + clean Python modeling