Alex Baas

Alex Baas Remote Available

Principal Software Engineer | AI Architect & Agentic Systems Specialist. 15+ years engineering resilient ecosystems from kernel to browser — now bridging LLM reasoning with production execution.

LinkedIn GitHub

Core Expertise

Agentic Orchestration

Autonomous loops (ReAct, Plan-and-Execute), multi-agent systems, MCP server development, LLM-to-tool communication.

Advanced RAG

High-precision retrieval with semantic routing, GraphRAG, LlamaIndex, LlamaParse, agentic chunking, and reranking pipelines.

AI Infrastructure

Productionizing LLMs with guardrails, observability, and evals (DeepEval, RAGAS). High-throughput runtimes in Rust, Go, and Bun.

Edge AI

On-device inference with Candle (Rust), ONNX, Llama.cpp. Low-latency edge orchestration and quantization.

Systems & Architecture

Low-latency concurrent backends, resilient microservices, distributed data processing, high-throughput design.

Full-Stack & Runtimes

Scalable web ecosystems on Node.js, Deno, Bun. Browser extensions, enterprise apps, build-less PWAs.

Stack

Rust Go Python Node.js TypeScript Ruby C/C++ PyTorch TensorFlow LangChain LangGraph LlamaIndex DeepEval RAGAS vLLM pgvector Neo4j Docker Kubernetes Terraform AWS GCP PostgreSQL Redis Kafka

Experience

Full Stack Software Engineer — AI/ML

2023 – Present
Elysium Health · California, US (Remote)
  • Designed and deployed scalable GenAI applications integrating RAG pipelines and Model Context Protocol for LLM-driven user experiences
  • Implemented agentic workflows and LLM-based assistants to automate data analysis, increasing user engagement and operational efficiency
  • Architected ETL pipelines and real-time data systems feeding retrieval-augmented generation models
  • Modernized backend infrastructure with microservices, Docker, and Kubernetes for distributed LLM deployment at scale

Machine Learning Software Engineer

2021 – 2023
Storyroom · California, US (Remote)
  • Developed AI-driven solutions for digital marketing, enhancing campaign performance and targeting accuracy
  • Refactored legacy code in Python and Go, improving server performance by 50%
  • Deployed predictive models using PyTorch and Scikit-learn for targeted marketing strategies

Full Stack Software Engineer — AI/ML

2020 – 2022
CoachHub · Remote
  • Designed and deployed a scalable coaching platform used by millions globally
  • Integrated AI features leveraging NLP and TensorFlow for personalized user experiences
  • Architected REST and GraphQL APIs using Node.js and Express
  • Developed CI/CD pipelines using Docker and Kubernetes, reducing deployment times

Senior Full Stack Software Engineer — AI/ML

2018 – 2020
Doctolib · Remote
  • Designed scalable, high-performance applications enhancing healthcare operations
  • Built end-to-end features across JavaScript/TypeScript, Ruby on Rails, and Go
  • Developed ML models for NLP tasks using TensorFlow and PyTorch
  • Improved CI/CD pipelines, achieving 30% reduction in deployment time

Skills

GenAI & Agentic: MCP, LangGraph, LlamaIndex, LlamaParse, CrewAI, AutoGen, RAG, GraphRAG, DeepEval, RAGAS, vLLM, Ollama, LangSmith
ML/AI: PyTorch, TensorFlow, Scikit-learn, OpenCV, NLTK, SpaCy, MLflow, Prefect, Airflow
Languages: Python, JavaScript/TypeScript, Rust, Go, Ruby, C/C++, Scala, Julia
Frameworks: FastAPI, Django, Node.js, Deno, Bun, React, Svelte, Next.js, Axum, Tauri, Tokio, Gin, Rails
Data & Infra: PostgreSQL, pgvector, Neo4j, Redis, MongoDB, Kafka, Docker, Kubernetes, Terraform, AWS, GCP

Education

INSEAD — MBA, Business Administration · 2013–2014
University of the People — MCA, Computer Applications · 2010–2013

Certifications

AWS Certified Machine Learning — Specialty
AWS Certified DevOps Engineer — Professional
AWS Certified Solutions Architect — Professional