ML Systems Engineer · Quant Analytics · Credit Risk
available for remote & international engagements
Production-grade ML engineer with 5+ years delivering end-to-end data systems across fintech, telecom, fixed income, and credit risk. I build things that run in production — live data ingestion, automated forecasting, risk decisioning engines, and analytical APIs — not just notebooks.
ML Systems & Data Infrastructure
End-to-end pipelines from raw ingestion to deployed inference. Forecasting with Prophet and Darts. Real-time platforms using FastAPI, PostgreSQL/TimescaleDB, and Azure. Load-tested at 30,000 subscribers — 5.4M records, 1,480 subscribers/second, 100% prediction success rate.
Credit Risk & Quant Analytics
Scorecard development, PD modelling, and portfolio analytics. Built XGBoost/Logistic Regression credit models at Renmoney (15% improvement in approval precision). Delivered MBS spec pool pay-up analyzers and CMO inventory matching engines for fixed income clients. Full credit lifecycle — origination, monitoring, workout.
Automation & AI Integration
GenAI pipelines (Whisper → OpenAI embeddings → FAISS → structured outputs), LLM-powered chatbots over indexed deal data, Prefect-orchestrated macroeconomic data extraction across 54 African countries. I connect pipelines to decision surfaces.
| Project | What it does |
|---|---|
mvno-intelligence-hub |
Azure-deployed subscriber analytics — Prophet forecasting, TimescaleDB, FastAPI, live SFTP ingestion every 15 mins |
nexus-quant-framework |
Quantitative analytics framework for financial modelling and strategy backtesting |
Forward-Fintech-Risk-Viability-Study |
Credit risk and fintech viability analysis — structured financial modelling |
Ecclesia-CheckIn |
QR-based attendance management system built and deployed to a live church community |
ad-intel-suite |
Advertising intelligence and analytics suite |
compliance-bot |
LLM-powered compliance automation tool |
intelligent-analytics-assistant |
Conversational analytics assistant for natural language data exploration |
time-series-trend-classification-darts |
Time-series trend classification using the Darts library |
multiOmic-biosensor-analytics |
Multi-omic biosensor signal processing and analytics |
Languages: Python · R · SQL · JavaScript
ML/Forecasting: XGBoost · LightGBM · Prophet · Darts · Scikit-Learn · TensorFlow · PyTorch · SHAP
Data Engineering: PostgreSQL · TimescaleDB · Snowflake · BigQuery · dbt · PySpark · Prefect · GitHub Actions
Infrastructure: Azure · AWS · GCP · FastAPI · Docker · SQLAlchemy · REST APIs
AI/NLP: OpenAI · LangChain · FAISS · NLTK · SpaCy · Whisper
Visualization: Power BI · Plotly/Dash · Streamlit · Metabase
Other: BeautifulSoup · Selenium · Scrapy · MILP (PuLP/OR-Tools) · Provenir
- ML Systems Engineer (Freelance) — MVNO analytics, MBS/CMO quant tools, fraud detection code review
- Data Research Analyst, Automation & AI — Stears
- Credit Risk Analyst (Data Science) — Renmoney Microfinance Bank
- Data Scientist — Nupat Technologies
- Education: Data Analytics — Turing College (Digital Explorers II Scholar) · BSc Business Administration
Open to freelance, contract & long-term partnerships, full time roles (Remote, Hybrid & Onsite) — ML systems, credit risk modelling, quant analytics, and data infrastructure.