Looking for a job

Cézar Lemos

@cezarbienieklemos

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ML, AI and Backend engineer. Experience with LLMs, RAG, Computer vision and Python Backend development.

Brazil

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What I'm looking for

I'm looking to build production AI systems that combine NLP, computer vision, analytics, and scalable cloud infrastructure.

I've built AI-powered customer support tools at Kodif, combining NLP, analytics, and foundation-model applications.

I developed backend services with FastAPI, Flask, Django, and Spring Boot, deploying Kubernetes workloads on Amazon EKS. My work includes RAG applications, sentiment analysis, topic modeling, CRM metadata, and Airflow pipelines.

At Radio Memory, I led end-to-end development of computer vision models for an AI-assisted radiology reporting system. I trained PyTorch and Keras models for keypoint detection, segmentation, object detection, and classification.

I've deployed ML services on AWS with Docker, Flask, FastAPI, Terraform, and services including EC2, Lambda, API Gateway, and ECS. Earlier, I built a ROS-based proof of concept integrating 3D spatial and 2D image data for safer haul truck dumping operations.

Experience

Work history, roles, and key accomplishments

Machine Learning Engineer

Kodif

Nov 2023 - Aug 2025 (1 year 9 months)

Built AI-powered tools for customer support, focusing on NLP and analytics. Developed backend services using FastAPI, Flask, Django, and Spring Boot, including Kubernetes deployments on Amazon EKS.

NLP fastAPI Flask Django Spring Boot Kubernetes Amazon EKS Hugging Face PyTorch RAG Airflow

Data Scientist

KODIF

Oct 2023 - Jul 2025 (1 year 9 months)

• Built AI-powered tools for customer support, focusing on
NLP and analytics.
• Developed backend services using FastAPI, Flask, Django,
and Spring Boot, including Kubernetes deployments on
Amazon EKS.
• Designed and deployed NLP systems using commercial and
open-source foundation models (Hugging Face, PyTorch),
including LLM applications with Retrieval-Augmented Gen-
eration (RAG).

NLP Hugging Face PyTorch RAG Sentiment Analysis Topic modeling Airflow

Data Scientist / Machine Learning Engineer

Radio Memory

Sep 2020 - Nov 2023 (3 years 2 months)

• Led end-to-end development of CV models for an AI-assisted
radiology reporting system.
• Handled data mining from SQL, HTML, logs, and text sources.
• Trained deep learning models (PyTorch, Keras) for computer
vision tasks: keypoint detection, segmentation, object detection, and classiﬁcation.
• Deployed models via Flask/FastAPI using Docker on AWS
(EC2, Lambda, API Gateway, ECS).
• Built and ma

Computer Vision PyTorch Keras Keypoint Detection Segmentation Object Detection Classification Flask fastAPI Docker AWS EC2 Lambda API Gateway Terraform

Innovation Researcher

The Bakery, SENAI-CIMATEC, MIT, The Imperial College

Dec 2019 - Jun 2020 (6 months)

• Contributed to an innovation project focused on improving
safety in haul truck dumping operations.
• Built a proof-of-concept demo in a virtual environment
using ROS, integrating 3D spatial and 2D image data with
tools such as PyTorch, OpenCV, and Docker.

ROS PyTorch OpenCV Docker 2D Imaging