Rene A.

Senior Software Engineer

Sunnyside, United States

Experience

Oct 2022 - Sep 2025
3 years

Senior Software Engineer

Votebud

  • Led the development of large-scale applications and tools, impacting millions of users globally, using C++ for performance-critical components and Python for backend services
  • Built and maintained distributed systems and robust APIs ensuring scalability and performance using JavaScript (Node.js) and TypeScript for full-stack development
  • Collaborated with cross-functional teams to apply LLM algorithms to natural language processing (NLP) and machine learning tasks, improving the efficiency of large-scale data processing
  • Partnered closely with research and product teams to address edge cases and system ambiguities, optimizing data processing using Python and C++
  • Mentored junior engineers on debugging, architectural patterns, and best practices for maintaining high code quality across multiple languages, including JavaScript and TypeScript
  • Improved system throughput and reliability by architecting scalable, AI-enhanced backend services and performance-optimized C++ components—delivering faster data pipelines and better user experience for millions worldwide.
Oct 2019 - Sep 2022
3 years

Senior Backend | AI Engineer

Novawave LLC

  • Designed and implemented AI-powered microservices using FastAPI, Node.js, and LangChain, enabling real-time LLM query processing and RAG-based insights for enterprise clients
  • Built multi-cloud MLOps pipelines integrating AWS SageMaker, Azure AI Studio, and Vertex AI, automating deployment and fine-tuning cycles for custom LLMs
  • Deployed Graph RAG and retrieval-optimized embeddings using PGVector + PostgreSQL, enhancing semantic search precision by 40%
  • Developed Next.js and React dashboards for visualization of AI-generated insights, integrating Deepgram for speech recognition and ElevenLabs for voice generation
  • Automated CI/CD pipelines with Terraform and GitHub Actions, achieving fully reproducible infrastructure as code and reducing deployment time by 70%
  • Led AI integration across cross-functional teams, defining architecture and data contracts to ensure seamless communication between frontend, backend, and ML systems
  • Enabled clients to cut data query latency from 1.2 s to 300 ms and improve pipeline reliability by 50%.
Jun 2016 - Oct 2019
3 years 5 months

Full Stack /Data Engineer

IKEA

  • Designed, built, and deployed a data analytics platform integrating React, Node.js, Python (FastAPI), and AWS Redshift + S3 for enterprise supply-chain data processing
  • Implemented ETL pipelines using Apache Airflow and AWS Glue, streamlining data transformation across 60+ global warehouses
  • Created a microservices ecosystem using Docker and Kubernetes, scaling from monolith to service-based architecture, boosting deployment speed by 45%
  • Engineered data dashboards in React and Plotly, enabling executives to monitor real-time inventory and logistics KPIs
  • Collaborated with the ML team to deploy predictive models for demand forecasting, reducing inventory waste by 30%
  • Built an internal developer portal for team automation tools, enhancing productivity and reducing manual data handling
  • Reduced data pipeline costs by 20% and increased forecast accuracy from 70% to 90%.
May 2013 - Apr 2016
3 years

Software Developer

Sigma Software Group

  • Developed enterprise-grade applications using Java, C#, .NET Core, and AngularJS, serving clients in finance and healthcare industries
  • Led modernization of legacy systems to cloud-native microservices using Docker and AWS ECS
  • Built RESTful APIs for internal reporting and integrated third-party authentication services (OAuth2, JWT)
  • Implemented automated testing frameworks using JUnit and Selenium, increasing QA coverage by 80%
  • Participated in Scrum teams of 10+, contributing to architecture design reviews and agile delivery planning
  • Reduced application downtime by 60% and optimized resource usage through asynchronous task handling.

Summary

As a tech-savvy Senior Full Stack Engineer & AI Data Scientist with over 10 years of experience, I specialize in building AI-driven solutions, scalable full-stack platforms, and intelligent data pipelines. I blend modern engineering practices with AI/ML innovation to deliver high-impact, production-ready systems.

My toolkit includes Python, C#, Go, Rust, R, TypeScript, React, Next.js, Node.js, FastAPI, AWS, GCP, Azure, and MLOps frameworks that ensure reliability, security, and performance at scale.

I thrive on designing systems that bridge AI intelligence and software engineering, leading cross-functional teams from prototype to production.

Languages

English
Native
Chinese
Advanced

Education

Apr 2009 - May 2013

Arizona State University

Bachelor's degree · Computer Science · United States · Excellent

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