Appcard

רעננה, ישראל

פרילנסר

צור קשר

שפות

צרפתית

שפת אם

עברית

שליטה קרובה לשפת אם

אנגלית

שליטה טובה

תחומי התמחות

טכנולוגיה

150 ₪ לשעה

Deep Learning

למדתי את תחום הDeep Learning במהלך קורס אינטסיבי במהלך 6 חודשים, בbootcamp של Primrose.

במהלך הקורסת למדתי, מימשתי, ותירגלתי את אלגוריתמי Machine Learning, וNeural Network.

חיזקתי את הידע שלי במהלך Stage בחברת היי טק בשם Cyber Analytics

תכנות ופיתוח תוכנה

150 ₪ לשעה

Python

I am an experienced Python developer with over 3 years experience, I hold a B.Sc in Computer Science and
Mathematics. I am passionate about programming, hard worker and highly motivated.

2023 - Today - Backend Python, Appcard
I work as a backend Python developer at a global company, where my daily responsibilities include utilizing huge databases, particularly PostgreSQL, Oracle and developing REST APIs. I am actively involved in working with technologies such as Jenkins,Kibana, Bitbucket, Jira... along with other advanced tools. My role involves contributing to the development and maintenance of backend systems, ensuring efficient data management, and collaborating with cross-functional teams to deliver robust solutions.

2021 - 2023 - Python Developer, Oddetect
As part of the R&D members of the global company, we bring a new generation of our product that incorporates
A.I, to optimize the detection of abnormal human activity.
Routinely working with videos from security cameras and with SW development tools and technologies such as: Git,
Docker, CI/CD methodologies, Python libraries(OpenCV, Pandas, Matplotlib, Numpy, Pytorch) in Linux environment.

2020 - Python developer Intern, Cyber Analytics
A Computer vision project that aimed to classify human actions as suspicious or not, using the Caviar dataset. The
project involved tracking individuals and automatically analyzing their actions in video footage. I used a pre-trained
ResNet-50 Convolutional Neural Network with a GRU layer added to classify each frame. My repo
Libraries and Environments: OpenCV, Pillow, Numpy, tensorflow, Keras, trained on Google Colab’s TPU

מפתחי Back-end

יש לי ניסיון רב בפיתוח backend, לאחר שלמדתי את התחום במהלך התואר הראשון שלי במדעי המחשב וכן באמצעות קורסים שונים. עבדתי על מספר פרויקטים באמצעות Django ורכשתי מיומנות בכל הטכנולוגיות והספריות הרלוונטיות כגון PostgreSQL, MongoDB, Django, Pymongo ו- SQL. אני בטוח ביכולת שלי לפתח פתרונות קצה חזקים וניתנים להרחבה כדי לענות על הצרכים של כל פרויקט

נסיון תעסוקתי

מאי 2021 - היום

Python developer in Computer vision team

Oddetect

As part of the R&D members of the global company, we bring a new generation of our product that incorporated A.I, to optimize the detection of abnormal human activity
Routinely working with videos from security cameras and with SW development tools in Linux environment and with python libraries such as OpenCV, Pandas, Matplotlib, Numpy,PyTorch..
Frontal cooperation and communication with big companies.
I gained experience and knowledge in:
- Deeper understanding in Machine Learning and Computer Vision algorithms
- Image processing and all kinds of data visualization (graph, plot, video visualization…)
- Data analysis of large datasets, such as ETL process
- From conducting research to influencing and impact product development
- Improve my programming, collaboration skills and problem-solving abilities
- In devops tools: Git (Bitbucket), Agile , CI/CD methodologies, Docker

מאי 2021 - דצמבר 2022

Python developer in Computer vision team

Oddetect

As part of the R&D members of the global company, we bring a new generation of our product that incorporates
A.I, to optimize the detection of abnormal human activity.
Routinely working with videos from security cameras and with SW development tools and technologies such as: Git,
Docker, CI/CD methodologies, Python libraries(OpenCV, Pandas, Matplotlib, Numpy, Pytorch) in Linux environment.

ספטמבר 2020 - דצמבר 2020

Python developer

Cyber analytics

A Computer Vision Project on Suspicious Behavior Detection My repo
The main aim was :
- Classify human action as suspicious or not using Caviar dataset.
- Tracking persons in order to automatically examine and recognize the nature of an action from video
- Using a ResNet-50 pre-trained model of Convolutional Neural Network and added a GRU layer, a variant of a RNN model to classify each frame .
Libraries and environnements: OpenCV, Pillow, Numpy, tensorflow, Keras, on Colab TPU