Open to opportunities

Dan Mbici

@danmbici

Message

Full-Stack developer and ML engineer delivering scalable backend systems and production ML solutions.

United States

Message

What I'm looking for

I seek a remote role applying ML in production—focus on scalable APIs, cross-functional teamwork, CI/CD automation, and meaningful fintech use cases with growth opportunities.

I am a results-driven software developer and machine learning engineer with over 5 years of experience building full-stack web applications and deploying AI-driven solutions for fintech. I have designed and trained NLP models for real-time transaction categorization, implemented scalable RESTful ML APIs, and refactored legacy systems into microservices to improve performance and deployment velocity.

I collaborate effectively across distributed teams, lead code reviews, and prioritize test coverage and CI/CD automation. My hands-on stack includes React, Node, FastAPI, Python ML libraries, and cloud-native tooling (AWS/GCP), and I consistently deliver production-ready systems that reduce operational overhead and improve analytics and reliability.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Developer

Current

FinLogic Solutions

Mar 2023 - Present (2 years 7 months)

Designed and trained NLP models for transaction categorization achieving 94% accuracy and deployed models via FastAPI and AWS Lambda with CI/CD; led code reviews to maintain >90% test coverage and supported cross-timezone product delivery.

Python fastAPI NLP AWS Lambda CI CD Testing Docker Slack

Current

Freelance Developer

Current

Various Clients

Jan 2021 - Present (4 years 9 months)

Delivered custom dashboards and ML models for fintech startups (fraud detection, customer analytics), migrating 3 clients from spreadsheets to scalable web apps and reducing operational overhead by 40%.

fastAPI scikit learn AWS Lambda Web Development Data Engineering Client Communication

Full-Stack Software Engineer

Digital Pulse Inc.

Jan 2020 - Feb 2023 (3 years 1 month)

Refactored a legacy monolith into Node.js microservices and PostgreSQL, improving load times by 55%; built React dashboards for real-time analytics and introduced Dockerized CI/CD pipelines, reducing deployment time by 30%.

Node React PostgreSQL Docker CI CD Microservices JavaScript Agile

Data Analyst & Junior Developer

Quantelligence Corp

Jun 2018 - Dec 2019 (1 year 6 months)

Developed ETL pipelines and predictive-modeling support using Python and SQL; built Plotly/Dash visualizations and automated reporting workflows, saving the team over 10 hours per week.