Dereck Roberts

Available to hire

Full-Stack AI Engineer | Python | Fintech & Healthcare SaaS I build AI applications and SaaS platforms using Python, FastAPI, Next.js, and React.

About

Full-Stack AI Engineer | Python | Fintech & Healthcare SaaS

I build AI applications and SaaS platforms using Python, FastAPI, Next.js, and React. As a Senior Full-Stack AI Engineer, I help businesses turn ideas and prototypes into reliable production software, with a focus on Fintech and Healthcare.

========== What I Can Help You Build ==========

  • LLM Applications & RAG: AI assistants, private document search, knowledge bases, and domain-specific workflows.

  • AI Agents & Automation: Tools that connect business systems, process information, and automate repetitive tasks.

  • Machine Learning: Predictive analytics, risk scoring, fraud detection, forecasting, and classification.

  • Document AI: OCR and structured data extraction from clinical notes, bank statements, invoices, and reports.

  • Full-Stack SaaS: Backend APIs, dashboards, authentication, databases, integrations, and cloud deployment.

========== Healthcare ==========
Medical document processing, EHR/EMR integrations, and privacy-focused AI workflows.

========== Fintech ==========
Financial data extraction, fraud detection, credit risk modeling, and analytics.

========== Core Stack ==========
Python • FastAPI • Django • Next.js • React • PostgreSQL • OpenAI API • LangChain • PyTorch • Scikit-learn • Vector Databases • Docker • AWS

I take ownership of the full delivery process—from architecture and development to deployment and monitoring. You can expect maintainable code, clear communication, and practical recommendations.

Have an AI product to build or improve? Let’s discuss your goals, scope, and timeline.

  • Joined October 2026

Languages

  • EnglishAdvanced

Industry experience

  • Healthcare
  • Financial Services
  • Education
  • Media & Entertainment

More experts in Manila, Philippines

Projects · 1

DataW - Building accessible data collection for everyone

Project Overview Data-W is a data platform concept focused on managing and improving data quality for football analytics, including player statistics, match events, tracking data, and team performance datasets. My Role & Contributions - Built data processing and validation workflows for structured datasets. - Implemented data quality checks for schema consistency, missing values, data integrity, freshness, and anomalies. - Designed analytics-ready data models for reporting and performance analysis. - Developed data quality monitoring metrics, trend tracking, and alerting concepts. - Established data lineage to improve data traceability from raw sources to analytics outputs. - Supported data governance, observability, and AI/ML data readiness.

  • Full Stack Developer

Work experience

Senior Full Stack Developer · SaberOct 2024 – Jun 2025 · 9 mos

- Developed a robust email classification and processing algorithm utilizing Python - Enhanced algorithm accuracy by integrating OpenAI API for intelligent insights - Designed and optimized a responsive front-end with React and Next.js, focusing on improved UI/UX performance - Built an interactive workflow creation interface for email processing using React Flow - Established seamless connectivity between front-end and back-end systems with FastAPI - Deployed the complete solution on Microsoft Azure, ensuring scalable and reliable server infrastructure

Senior Full Stack Developer · IntuitOct 2023 – Aug 2025 · 1 yr 11 mos

- Utilized Django Framework for web app development, implementing MVC architecture through Django's ORM model - Automated infrastructure deployments using AWS CloudFormation templates (in JSON) - Applied Python Library Beautiful Soup for web scraping and data parsing - Managed Docker containers via Kubernetes pods, load balancing across pods for optimal performance - Deployed applications in Docker Container for customization, hosting on Elastic Beanstalk - Employed Pandas library for statistical analysis and Numpy for numerical analysis, streamlining insurance premium calculations - Implemented sophisticated Legal AI solutions using Language Understanding and - Management Systems (LLMs) - GPT models, AutoGPT, BabyAGI, etc., based on the LangChain Framework - Developed RESTful microservices using Flask and Django, and deployed on AWS servers using EBS and EC2 - Successfully migrated from SQLite to MySQL to PostgreSQL while preserving data integrity within the Django database - Implemented a distributed worker framework using Celery with Rabbit MQ, MySQL, Django, and Flask - Configured IAM roles for EC2 instances in ELB, assigning them policies granting specific access levels to S3 buckets through customized JSON template-designed - Stacks via Amazon Cloud Formation - Utilized Code Commit for secure, scalable private Git repository hosting - Developed a real-time executive dashboard employing Logstash, Elastic Search, Kibana & Redis - Leveraged HTML5, CSS3, JavaScript for cutting-edge front-end design - Built application and database servers using AWS EC2, creating AMIs and employing RDS for Oracle DB

Certifications and awards

Data Science with Python | Data Extraction2022 – 2026

Applied data science certification with focus on unstructured data extraction, PDF parsing, and OCR-based document processing. Covered Python-based PDF data extraction, Tesseract OCR integration, invoice and document scraping, and delivering structured data from scanned files to Excel and SQL formats. Developed skills in large-scale PDF pipelines and automated document extraction for legal, financial, and enterprise use cases

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