Hi, I'm Alix Leon
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Specializing in large language models, distributed systems, and cloud infrastructure. Building production-ready AI solutions with Python, Go, and AWS.
About Me
Software and Machine Learning Engineer with extensive experience in backend development, distributed systems, and LLM applications. Specialized in building scalable AI solutions using Python and Go, with deep expertise in AWS infrastructure and MLOps.
LLM Development & AI
Expert in building production LLM systems with PyTorch, TensorFlow, LangGraph, and DSPy. Specializing in prompt engineering, RAG architectures, and model fine-tuning.
Backend Engineering
High-performance backend development with Python and Go. Experienced in building distributed systems, microservices, and optimizing for low-latency, high-concurrency applications.
Data Engineering & Analytics
Building scalable ETL pipelines with PySpark and Snowflake. Statistical modeling and credit risk analytics using R, Python, and SQL.
Cloud & MLOps
Architecting AWS infrastructure (Lambda, EC2, S3, RDS). Implementing CI/CD pipelines, automated testing, and model governance frameworks.
Tech Stack
Experience
Professional journey building AI systems and scalable software solutions.
AI/ML Engineer
TheCRM Corporation
Jan 2025 - Jan 2026
Remote
Architected end-to-end AWS infrastructure for LLM-based voice agent. Engineered core reasoning engine with LangGraph and DSPy. Migrated inventory search API from Python to Go, improving concurrency and reducing latency.
- •Designed scalable serverless AWS infrastructure for high-throughput voice agent
- •Improved context retention and dynamic decision-making in real-time calls
- •Orchestrated automated evaluation pipelines using CI/CD and pytest
Quantitative Model Developer
Capital One
Aug 2024 - Jan 2025
New York, NY
Developed credit risk models for PD, LGD, and EAD using Python, R, and PyTorch. Optimized predictive performance with XGBoost ensembles and time-series forecasting techniques.
- •Influenced lending strategies for commercial and retail portfolios
- •Authored technical documentation aligned with SR 11-7 standards
- •Led impact analyses quantifying effects on loss projections
Data Science Consultant
Independent Consulting
Jun 2021 - Jan 2023
New York, NY
Architected end-to-end data science solutions on AWS. Built robust ETL pipelines and reporting dashboards across multi-cloud environments.
- •Delivered faster model rollout and improved prediction accuracy for financial clients
- •Reduced manual data processing time with automated pipelines
- •Translated complex analyses into actionable business intelligence
Featured Projects
A selection of my recent work in machine learning, data engineering, and software development.
LLM-Powered Voice Agent Platform
Architected end-to-end AWS infrastructure for an AI voice agent connecting dealership CRMs with customers. Built reasoning engine with LangGraph and DSPy, handling complex conversational flows in real-time.
High-Performance RAG Inventory Search API
Re-engineered RAG-based inventory search microservice, migrating backend from Python to Go. Achieved significant concurrency improvements and reduced API latency for real-time interactions.
Credit Risk Modeling System
Developed and validated statistical models for PD, LGD, and EAD using Python, R, and PyTorch. Implemented XGBoost ensembles with time-series forecasting, ensuring regulatory compliance.
Multi-Cloud ETL & Analytics Pipeline
Built automated ETL pipelines and reporting dashboards across AWS, GCP, and Snowflake. Reduced manual data processing time while enabling strategic decision-making through actionable insights.
Education
Academic foundation in Computer Science, Statistics, and Machine Learning.
Columbia University
Master of Arts in Statistics
Machine Learning Concentration
Relevant Coursework:
CUNY Lehman College
Bachelor of Science in Computer Science
Minor in Mathematics
Relevant Coursework:
Get In Touch
I'm always open to discussing new projects, opportunities, or collaborations.
Let's talk
Whether you have a question, want to collaborate on a project, or just want to say hi, feel free to reach out!
Location
New York, NY