Amine B., Senior Machine Learning Engineer

Freelancer profile translated to English.

Back to original language

Description

Machine learning engineer capable of leading a data project from idea to scalable deployment. I am experienced in Job Orchestration, NLP, and Deep Hashing. My main technologies are: Python | FastAPI | Airflow | Scikit-learn | Pytorch | Spark | Kubernetes | AWS.

Languages

Arabic
Native or bilingual
English
Fluent
French
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Coinalpha
Machine learning engineer
TECH
February 2021 - Today (5 years and 3 months)
California City, United States
• Designed and implemented a data pipeline using Airflow for algorithmic trading data analysis in the cryptocurrency
sector. This Python-based solution integrates extractors from various databases and APIs, and includes the development
of a real-time price cache with gRPC communication, and the pipeline been seamlessly running on aws for 2 years
with 0 downtime.
• Collaborated with traders to refine our algorithmic trading market-making strategy by introducing diverse order
management techniques, incorporating inventory and band indicators, among other enhancements. Utilized Python,
Cython, and the open-source Hummingbot.
• Main engineer in developing the bot monitoring module, designed to monitor both public market data such as order
books and private transactions like orders, trades and PNL. Employed Postgres and Datadog for data management
and metrics storage
• I implemented a customer reporting software for market-making campaigns, which included data extraction (ccxt,
sqlalchemy, py-k8s,...), aggregation(pandas), and visualization(plotly).
Apache Airflow Big Data Analysis Algorithmic Trading Python
ESEM PARIS
Big Data and ML Trainer
EDUCATION AND E-LEARNING
August 2021 - February 2022 (6 months)
Paris, France
Taught machine learning and big data courses to Master’s students:
• Python Course and data/ml libraries.
• Data analytics and dimensionality reduction(PCA).
• Distributed processing with spark and python.
• Devops fundamentals with containers.
Spark Python Docker Kubernetes Data Analytics
Arlynk
ML Engineer
TECH
December 2019 - June 2020 (6 months)
Researched and developed an AI large language model for CRM sentiment analysis using state-of-the-art techniques
like Transformers and BERT. Integrated this pytorch model into a singular agent, served via a web API, and
containerized for cloud deployment.
Large Language Model BERT Deep Learning

Check out Amine's experience

A

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

B

Baptiste Duhen

Fullstack developer

4.6

(4)

5

A

Amed Hamou

Senior Lead Developer

4

(2)

7

A

Audrey Champion

Web developer

4.3

(3)

4

Signup to reveal

Master of Science in Data Science
University of Rouen
2021
Big Data Engineer
ENSET
2020