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I am a Senior Python & AI / Full-Stack Engineer with over a decade building data-driven, cloud-native applications for finance, healthcare, and enterprise clients. My strengths lie in backend development with Python (FastAPI, Django, Flask) and AI/ML integration, plus modern frontend work with React/Next.js. I thrive on turning complex technical problems into reliable, scalable platforms that deliver measurable business outcomes. I design secure, observable systems with strong CI/CD and DevSecOps practices, mentor teams, and collaborate across security, legal, and product to ship robust solutions for millions of users. I’m passionate about performance, quality, and continuous improvement, always seeking opportunities to modernize architectures and empower product teams with data-driven insights.…I am a Senior Python & AI / Full-Stack Engineer with over a decade building data-driven, cloud-native applications for finance, healthcare, and enterprise clients. My strengths lie in backend development with Python (FastAPI, Django, Flask) and AI/ML integration, plus modern frontend work with React/Next.js. I thrive on turning complex technical problems into reliable, scalable platforms that deliver measurable business outcomes. I design secure, observable systems with strong CI/CD and DevSecOps practices, mentor teams, and collaborate across security, legal, and product to ship robust solutions for millions of users. I’m passionate about performance, quality, and continuous improvement, always seeking opportunities to modernize architectures and empower product teams with data-driven insights.

David Eduardo Fernandez

Full Stack Developer, Web Developer, Developer, +2

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I am a Senior Python & AI / Full-Stack Engineer with over a decade building data-driven, cloud-native applications for finance, healthcare, and enterprise clients. My strengths lie in backend development with Python (FastAPI, Django, Flask) and AI/ML integration, plus modern frontend work with React/Next.js. I thrive on turning complex technical problems into reliable, scalable platforms that deliver measurable business outcomes. I design secure, observable systems with strong CI/CD and DevSecOps practices, mentor teams, and collaborate across security, legal, and product to ship robust solutions for millions of users. I’m passionate about performance, quality, and continuous improvement, always seeking opportunities to modernize architectures and empower product teams with data-driven insights.…I am a Senior Python & AI / Full-Stack Engineer with over a decade building data-driven, cloud-native applications for finance, healthcare, and enterprise clients. My strengths lie in backend development with Python (FastAPI, Django, Flask) and AI/ML integration, plus modern frontend work with React/Next.js. I thrive on turning complex technical problems into reliable, scalable platforms that deliver measurable business outcomes. I design secure, observable systems with strong CI/CD and DevSecOps practices, mentor teams, and collaborate across security, legal, and product to ship robust solutions for millions of users. I’m passionate about performance, quality, and continuous improvement, always seeking opportunities to modernize architectures and empower product teams with data-driven insights.

Available to hire

I am a Senior Python & AI / Full-Stack Engineer with over a decade building data-driven, cloud-native applications for finance, healthcare, and enterprise clients. My strengths lie in backend development with Python (FastAPI, Django, Flask) and AI/ML integration, plus modern frontend work with React/Next.js. I thrive on turning complex technical problems into reliable, scalable platforms that deliver measurable business outcomes.

I design secure, observable systems with strong CI/CD and DevSecOps practices, mentor teams, and collaborate across security, legal, and product to ship robust solutions for millions of users. I’m passionate about performance, quality, and continuous improvement, always seeking opportunities to modernize architectures and empower product teams with data-driven insights.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Javanese

Advanced

Aragonese

Advanced

Bashkir

Advanced

Work Experience

Lead Python & AI / Full-Stack Engineer at NextGen Capital

May 1, 2025 - May 1, 2025

Led the design and implementation of a Python-based financial risk analytics platform processing 1M+ transactions daily, leveraging FastAPI, Celery, PostgreSQL, and Kafka for real-time decision processing. Built AI-driven fraud detection pipelines with LangChain, GPT-4, and Pinecone for dynamic risk scoring and anomaly detection (35% precision improvement). Implemented RAG-based compliance reporting by integrating FAISS/Weaviate vector stores with internal documents. Built scalable data ingestion microservices using Kafka and AWS SQS/SNS for 10M+ records/day. Secured APIs with OAuth2.1/JWT/TLS and integrated with Plaid/Stripe/Visa/Mastercard networks. Deployed microservices on AWS ECS + Fargate with Terraform, achieving 99.99% uptime and 45% faster deployment cycles. Enabled auto-scaling ML endpoints via Triton Inference Server. Implemented data quality checks with Great Expectations across 15+ feeds. Delivered AI dashboards in React/Next.js with real-time metrics and LLM explanations.

Senior Python Backend & AI Engineer at Medisync AI

March 1, 2022 - March 1, 2022

Architected HIPAA-compliant healthcare analytics platform processing 5M+ patient records/day using FastAPI, Django, Celery, and PostgreSQL. Built AI-powered clinical prediction pipelines (TensorFlow, PyTorch, scikit-learn) with 38% improved predictive accuracy. Designed medical NLP pipelines (LangChain, OpenAI GPT-3.5, spaCy) accelerating documentation by 32%. Implemented RAG search with Pinecone for clinician dashboards. Created FHIR/HL7 APIs for EHR interoperability. Migrated monolith to Python microservices on Azure AKS, reducing deployment time from 60 to 12 minutes. Built asynchronous ETL/streaming with Celery, Redis, Kafka; reduced ingestion latency by 55%. Developed model retraining pipelines via Airflow + MLflow with versioned artifacts. Implemented RBAC, AES-256 + TLS 1.3, and audit logging for HIPAA, SOC 2, GDPR compliance. Delivered real-time clinician dashboards with React/TS and GraphQL subscriptions. Integrated OpenCV/TensorFlow for radiology image analysis. Improved obse

Full-Stack Software Engineer at Technical Systems Inc

December 1, 2022 - December 1, 2022

Developed and maintained enterprise web applications using Django, FastAPI, and React for 100K+ active users with API latency under 100 ms. Built REST & GraphQL APIs secured with JWT/OAuth2 and rate-limiting. Implemented asynchronous tasks with Celery + RabbitMQ, reducing response times by 40%. Designed data processing pipelines with Pandas, NumPy, and SQLAlchemy for rapid analytics. Integrated OpenAI GPT-based summarization for document reviews. Created internal admin dashboards using Angular + Material-UI. Built ETL data synchronization between PostgreSQL and Elasticsearch for advanced search. Real-time notifications via WebSockets + Kafka. Automated provisioning with Terraform + CloudFormation. Configured monitoring (ELK, Prometheus, Sentry) for 24/7 uptime. Established multi-stage CI/CD with GitLab. Led code reviews, static analysis, and TDD with 90%+ test coverage. Optimized DB queries and indexing (50% latency reduction). Defined API contracts with OpenAPI/Swagger; supported post

Python Developer Intern at Unique Software Development

September 1, 2018 - September 1, 2018

Assisted in developing internal data analytics dashboards using Django + Chart.js for business intelligence. Created ETL automation scripts (Pandas, NumPy) ingesting CSV/JSON/SQL data, reducing manual workload by 70%. Implemented RESTful APIs with Flask. Designed data validation pipelines with custom schema checks and alerting. Built Selenium + BeautifulSoup bots for web data extraction. Integrated Matplotlib/Seaborn visuals for ad-hoc reports. Supported migration of legacy Excel workflows to PostgreSQL + SQLAlchemy. Created automated unit tests achieving 80% coverage. Deployed internal microservices to AWS EC2 with Docker Compose. Conducted code reviews and ensured quality. Delivered MVPs within strict timelines and improved query latency by 50%.