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HenryMorganDibie/README.md

Henry Dibie

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.

What I Build

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.

Selected Projects

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

Stack

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

Background

  • 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

Let's Work Together

Open to freelance, contract & long-term partnerships, full time roles (Remote, Hybrid & Onsite) — ML systems, credit risk modelling, quant analytics, and data infrastructure.

📬 LinkedIn · Medium

Pinned Loading

  1. nigerian-fintech-agent nigerian-fintech-agent Public

    AI-powered fintech operations agent built for the Nigerian financial ecosystem. Automates financial workflows, transaction intelligence, payment operations, and decision-driven tasks using agentic …

    Python

  2. fraud-detection-api fraud-detection-api Public

    Production-hardened FastAPI ML inference API serving real-time fraud predictions. Features API key auth, joblib model serving, concurrent p99 latency testing, multi-stage Docker build, structured l…

    Python

  3. knowledge-rag-api knowledge-rag-api Public

    Production RAG backend — Document360 & SharePoint ingestion, pgvector hybrid search, ACL filtering, and grounded answer generation with citations. Built with FastAPI + Aurora PostgreSQL.

    Python

  4. pulse-agent pulse-agent Public

    LLM agent system that models user behaviour from review history to simulate ratings, generate reviews, and deliver personalised recommendations. Built with Llama 3.3 via Groq, LangGraph & FastAPI. …

    Python

  5. llm-audit-poc llm-audit-poc Public

    Independent audit of a fine-tuned LLM tool-calling PoC — BFCL regression decomposition, inference stack risk assessment, and production recommendation for a FinTech client. Qwen-2.5, LoRA, SGLang, …

    Python

  6. trial-activation-challenge trial-activation-challenge Public

    Trial activation analysis for a 30-day SaaS trial — behavioural event data, conversion driver analysis, dbt SQL models, and an interactive analytics dashboard. Built for the Splendor Analytics Data…

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