Hello, world! I'm

Rodolfo Lopez III

I build scalable data systems, train intelligent models, and craft beautiful web experiences.

Data Engineer
AI Engineer
Full Stack Developer

About Me

I'm a versatile engineer who thrives at the intersection of data engineering, artificial intelligence, and full-stack development.

With deep experience across the entire data lifecycle — from ingesting raw data at scale to training production ML models and building the user-facing applications that surface insights — I bring a unique end-to-end perspective that bridges the gap between data teams and product teams.

I'm passionate about designing systems that are not just technically sound, but elegant, maintainable, and impactful. Whether it's architecting a real-time streaming pipeline, fine-tuning an LLM, or shipping a pixel-perfect React application, I bring the same rigor and attention to detail.

8+
Years Experience
50+
Projects Delivered
10+
TB Data Processed
99.9%
System Uptime

Technical Skills

Data Engineering

Apache SparkApache KafkaApache AirflowdbtSnowflakeBigQueryPostgreSQLRedisDelta LakeData Modeling

AI & Machine Learning

PyTorchTensorFlowHugging FaceLangChainRAG PipelinesFine-Tuning LLMsMLflowComputer VisionNLPFeature Engineering

Full Stack Development

React / Next.jsTypeScriptNode.jsPython / FastAPIGraphQLREST APIsTailwind CSSPrisma / SQLAlchemyWebSocketsTesting (Jest, Pytest)

Cloud & Infrastructure

AWS (S3, Lambda, ECS, Glue)GCP (BigQuery, Vertex AI)Azure (Data Factory)TerraformDockerKubernetes

DevOps & Practices

CI/CD (GitHub Actions)Git / MonoreposMonitoring (Datadog)Logging (ELK Stack)Agile / ScrumSystem Design

Languages

PythonTypeScriptJavaScriptSQLScalaGoBashRust

Featured Projects

Data Engineering

Real-Time Analytics Platform

Designed and built a real-time data pipeline processing 500K+ events/sec using Kafka, Spark Streaming, and Delta Lake. Powers live dashboards for business stakeholders with sub-second latency.

Apache KafkaSparkDelta LakePythonAWS
View Case Study
AI / ML

AI-Powered Document Intelligence

Built a RAG-based system using LangChain and fine-tuned LLMs to extract, classify, and summarize enterprise documents. Reduced manual review time by 80%.

LangChainGPT-4RAGFastAPIVector DB
View Case Study
Full Stack

E-Commerce Platform

Full-stack e-commerce application with Next.js, real-time inventory management, Stripe payments, and a recommendation engine powered by collaborative filtering.

Next.jsTypeScriptPostgreSQLStripeRedis
View Case Study
Data / ML

ML Feature Store

Architected a centralized feature store serving 50+ ML models in production. Unified batch and real-time feature computation with versioning and lineage tracking.

PythonFeastSparkRedisKubernetes
View Case Study
Data Engineering

Data Observability Dashboard

Built an internal tool for monitoring data quality, pipeline health, and SLA compliance across 200+ data assets. Includes anomaly detection and automated alerting.

ReactD3.jsPythonAirflowdbt
View Case Study
AI / ML

Conversational AI Assistant

Developed a production chatbot using fine-tuned transformer models with guardrails, function calling, and multi-turn memory. Handles 10K+ conversations daily.

PyTorchTransformersFastAPIWebSocketDocker
View Case Study

Work Experience

Lead Data & AI Engineer

Company Name

2023 — Present
  • Led a team of 8 engineers building the next-generation data platform processing 2TB+ daily
  • Designed and deployed ML pipelines serving real-time predictions to 1M+ users
  • Reduced data processing costs by 40% through architecture optimization and migration to Delta Lake
  • Established engineering standards, code review practices, and mentorship programs
SparkKafkaPyTorchAWSKubernetesdbt

Senior Full Stack Engineer

Company Name

2021 — 2023
  • Architected and built customer-facing analytics dashboard serving Fortune 500 clients
  • Implemented real-time data visualization with WebSocket feeds and D3.js
  • Led migration from monolith to microservices, improving deployment frequency 10x
  • Mentored 4 junior developers and established frontend best practices
ReactNext.jsNode.jsPostgreSQLGraphQLDocker

Data Engineer

Company Name

2019 — 2021
  • Built ETL pipelines processing 500M+ records daily across multiple data sources
  • Designed data warehouse schema and implemented data quality monitoring
  • Developed automated reporting system reducing manual work by 60+ hours/month
PythonAirflowSnowflakedbtAWS GlueSQL

Software Engineer

Company Name

2017 — 2019
  • Built RESTful APIs and microservices handling 10K+ requests/second
  • Developed internal tools that improved team productivity by 30%
  • Contributed to open-source projects and engineering blog
PythonJavaScriptDjangoReactPostgreSQLRedis

Get In Touch

I'm always interested in hearing about new opportunities, whether it's leading a data engineering team, building AI systems, or crafting full-stack applications. Let's connect!

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