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Alexis – AWS, Python, LLM, experts in Lemon.io

Alexis

From France (UTC+2)

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AI EngineerSenior
Machine Learning EngineerSenior
10 years of commercial experience
Administration
AI
Asset management
Customer support
Edtech
Fintech
Machine learning
B2B
Chatbots
CRM
Mobile apps
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Alexis – AWS, Python, LLM

Meet Alexis, a dynamic developer specializing in data engineering and machine learning. He excels at optimizing data pipelines and models for risk scoring and real-time predictions. Known for his effective communication skills and attention to detail, Alexis possesses an entrepreneurial spirit and strong technical expertise. He is dedicated to continuous learning and improvement, openly acknowledging past challenges and proactively seeking growth opportunities. With a talent for engaging with stakeholders, he fosters productive conversations and drives project success in startup environments.

Main technologies
AWS
4.5 years
Python
10 years
LLM
2 years
PyTorch
3 years
OpenAI
2 years
Additional skills
FastAPI
Hugging Face
GPT
Ready to start
april 22rd
Direct hire
Potentially possible
Ready to get matched with vetted developers fast?
Let’s get started today!

Experience Highlights

AI Engineering freelancer
Jan 2025 - Ongoing2 months
Project Overview

The product is an autonomous Customer Support Agent designed for expense management in businesses (B2B). It assists users with tasks such as retrieving information about user approvals, creating expense rules, and analyzing data.

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Responsibilities:
  • Designed the worflow to respond to the different use cases: data retrieval, analysis, and configurations;
  • Implemented the system from scratch using LangGraph;
  • Managed all prompts necessary, tailoring the information provided for each step (explanation of the business, relevant data schemas, etc.) while measuring the effectiveness of nodes separately;
  • Developed an intermediate backend to be provided as tools for the agent. This backend would interact, in turn, with the main company backend;
  • Deployed the backend on ec2 using Docker.
Project Tech stack:
Python
LangChain
AI
OpenAI API
Hugging Face
Docker
Amazon EC2
PostgreSQL
Redis
AI Engineering freelancer
Dec 2024 - Jan 20251 month
Project Overview

Improved the client's internal AI usage by implementing a Retrieval Augmented Generation system that integrates the company's existing knowledge about customers and product development from their knowledge base, CRM, and internal database.

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Responsibilities:
  • Set up conversion of documents to embeddings using OpenAI's embeddings API;
  • Stored vectors in superbase and set up vector similarity functionality;
  • Pipelining for continuous integration of updated Knowledge Base and CRM;
  • Built search with entity recognition to convert queries into embeddings for lookups;
  • Lowered costs by storing all embeddings already obtained;
  • Offered via API with options to choose the source of the augmented context: KB, CRM, or Data Warehouse.
Project Tech stack:
Python
OpenAI API
Supabase
FastAPI
Machine Learning Lead
Nov 2023 - Apr 20244 months
Project Overview

The product is a platform for knowledge enthusiasts to discover and create quizzes. AI assists by helping users choose topics, set difficulty levels, and adjust question types, while also identifying engaging titles and hashtags. Its recommendation model personalizes quiz suggestions based on user preferences and promotes new content.

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Responsibilities:
  • Developed the recommending system using TensorFlow and exposed it through an API (in the style of "Tiktok's for you feed");
  • Developed the Data pipelining to feed the recommender in real time;
  • Set up and implemented the agentic workflow to assist quiz creation;
  • Designed tests to ensure the factuality and diversity of our quizzes;
  • Deployed everything on EC2, using FastAPI, Docker, and CI/CD;
  • Managed all the infrastructure with Terraform;
  • Implemented semantic search to find quizzes based on keywords;
  • Ensured security and scalability of the backend, managing authentication, load balancing, and alerts.
Project Tech stack:
Python
OpenAI API
AWS
Terraform
Docker
Tensorflow
FastAPI
CI
CD
Data Warehouse
Data analysis
Machine learning
LLM
Postman
RAG
Supabase
Data Science Lead
Dec 2018 - May 20194 months
Project Overview

The client is a startup that buys invoices from Chilean companies, which the recipients are to pay. Historically, invoice reviews have experienced a high rejection rate based on various risk factors. The project's goal was to develop a machine-learning model to evaluate these assets and generate risk-based proposals.

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Responsibilities:
  • Designed the proposed solution;
  • Defined success metrics, identified risks, and aligned stakeholders;
  • Led the development, assisted by a more junior data scientist;
  • Developed data pipelines to feed the model using data;
  • Deployed the solution on GCP to be called directly from the product.

Minute of glory:

  • The machine learning model approach reduced the rejection rate by 10% in the first version and another 10% in the second iteration.
Project Tech stack:
Python
Scikit-learn
GCP Compute Engine
BigQuery
Pandas
Data Science
Machine learning

Education

2015
Industrial Engineering with a specialization in Computer Science
Bachelor’s Degree (6-year program)
2025
Data Engineering Professional Certificate
Professional Certificate (online)

Languages

Spanish
Advanced
French
Upper-intermediate
English
Advanced

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