Amine B., Senior Machine Learning Engineer

Description

Ingénieur en machine learning capable de mener un projet data d'une idée jusqu'au déploiement scalable, Je suis expérimenté en Job Orchestration, NLP, et Deep Hashing, mes technologies principales sont : 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 Analyses Big Data Algorithmic Trading Python
ESEM PARIS
Formateur Big Data and ML
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 de science en data science
Université de Rouen
2021
Ingénieur en Big data
ENSET
2020