Ivan APEDO
Ivan APEDO
John Doe

I'm a Software Engineer who transitioned into Machine Learning.  Over the past years I've worked on diverse projects as Software Engineer. Now I'm excited to learn and share in the AI area.

Work Experience

My professional journey and career milestones

OU
02/2025 - present

Machine Learning Engineer | AI Training

Outlier

Contributing to the development and training of advanced AI models for real-world applications. Helping cutting-edge generative AI models write better code. My works include AI-generated code evaluation, coding problems solving & optimization, prompts optimization for Large Language Models (LLMs).

PythonMachine LearningLarge Language Models(LLMs)Model trainingPrompt EngineeringDockerGit
SH
12/2024 - 06/2025

Software Engineer

Shipd by Datacurve

Deal with complex DSA/algorithmic problems & SWE projects which are used to deliver quality data for LLM Training at Datacurve AI (YC W24). Code debugging and refactoring based on user criteria and reviewer feedback.

PythonC++AlgorithmsCreative Problem SolvingCode Review
SH
04/2024 - 06/2024

Flutter mobile Developer

SHAKEBIZ

Developed and delivered cross-platform mobile applications forAndroid and iOS, enhancing user experience and functionality.

FlutterFirebaseGit
GO
01/2023 - 03/2024

React/NodeJS Developer

GoFundMe

Engineered secure public APIs, adopting microservices architecturethat improved scalability. Optimized SQL queries, reducing database query times andenhancing overall application performance.

ReactTypeScriptNodeJSDockerGit
HA
05/2023 - 08/2023

Angular/Spring Boot Developer

Harvest Groupe

Developed and maintained microservices for a banking solution,increasing request processing efficiency.

AngularSpringBootDockerGit
CE
05/2022 - 08/2022

Angular/Spring Boot Developer

Ceel Technologies SARL

Developed a document delivery platform for first instance courts,reducing delivery times.

AngularSpringBootDockerGit

Areas of Interests

Specialized skills area.

Fullstack

Machine Learning

Computer Vision

NLP

LLM

MLOps

Featured Projects

A showcase of some of my recent work.

PayPal Fraud Detection

A real-time machine learning system for detecting fraudulent transactions. MLOps solution with FastAPI, feature engineering, and action recommendations.

PythonFastAPIJupyter NotebookRandom Forest+7

Google Flights Airfare Forecast

A comprehensive MLOps system for predicting airline prices with AI-powered scenario planning and booking optimization. This project implements a complete real-time machine learning pipeline with feature engineering, model training and inference.

PythonFastAPIJupyter NotebookXgboost+5

Breast Cancer Prediction

Built CNN models and VIT model to predict breast cancer for a patient

Jupyter NotebookNumpyTensorflowMatplotlib+9

Vehicle-Feature-Tracking-And-Analysis

Vehicle feature tracking and speed estimation using optical flow algorithm with YOLO object detection from video footage

PythonOpenCVYOLOOptical-Flow+2

Human Detection with Gender Classification

A computer vision solution that aims to detect persons in video feed, then their faces and finally perform gender classification.

PythonOpenCVNumpyUltralytics+1

Social Distancing Monitoring

Implement a computer vision solution that aims to monitor social distancing between people, identify high-risk areas and non-compliance.

PythonNumpyOpenCVTorch+1

Let's Build Something Amazing

I'm always excited about new opportunities and challenging projects.