Mohaned Abid

Experience

• 

  Kaggle

  Jan 2019 - Jan 2021

  Kaggle competitions contributor

  -Winning a BRONZE MEDAL in "SIIM Melanoma Classification":Ranked in top 6 % (193/3314) in an international data science competition hosted in kaggle (a GOOGLE platform for competitive data science) the task in this 3-MONTH competition was to Identify melanoma in lesion images using both tabular data and images.KAGGLE ACCOUNT: https://www.kaggle.com/mohaned47

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  Datavision

  Jul 2019 - Jul 2020

  -Implementing an algorithm to stream data between processes using multiprocessing in python with gRPC , PROTOBUFF and REDIS.-thread workload visualization.-working with MONGODB databases in PYTHON. -Optimizing the detection-> tracking algorithm by transforming a sequential workflow to a PARALLEL workflow using MULTITHREADING in PYTHON which enhanced the FPS by 20%.-Working with YOLOv3 object detection algorithm.- people counting , age and gender recognition.-Understanding COMPUTER VISION basics.-Reading, Understanding related research papers.

  • Python Developer

    Sept 2019 - Jul 2020

  • Machine Learning Intern

    Jul 2019 - Aug 2019
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  Data Co-Lab

  Sept 2019 - Aug 2020

  Member at Data Co-Lab:engineering department

  The first Data Science lab for Students and Educators, aiming to empower AI culture in Tunisia.my Achievements:-Tunisian image colorization project using a deep learning model from Richard Zhang's "Colorful Image Colorization" research paper (hosted project link : http://imgcol.herokuapp.com )

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  Rochester Institute of Technology

  Jul 2020 - Aug 2020

  Business consulting intern

  After passing 2 rounds of interviews and finishing the RIT 7day bootcamp, I got the offer to work with one of the tech giants on their CLOUD DIGITAL TRANSFORMATION services, analyzing DT case studies, KPIs and developing mental models.

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  EURA NOVA

  Aug 2020 - Sept 2020

  Software Engineer Intern

  Contributing to a project aiming to FINE TUNE BIG DATA frameworks' configurations using REINFORCEMENT LEARNING in order to optimize the pipeline for THROUGHPUT and LATENCY metricsTasks that I have achieved: -Setting up a big data environment using DOCKER and DOCKER-COMPOSE for the needed pipeline composed of KAFKA,SPARK,FLINK,HIVE AND CASSANDRA -Designing and developing a python connector that reads and writes configs from and to the pipeline. -Taking part in Designing and developing a custom RL environment (OOP) for the specified usecase. -Understanding the basics of Reinforcement learning algorithms (Q-LEARNING,POLICY GRADIENTS,EPSILON GREEDY..) Show less

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  Monoprix

  Oct 2020 - Feb 2021

  Data science consulting intern

  Designing and developing a sales forecast solution with a dashboard for monoprix tunisia using their historical dataKEYWORDS: retail,time series,machine learning xgboost, flask, canvasJS

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  Expensya

  Mar 2021 - Oct 2023

  •Designed technical breakdowns and developed new features related to both proof of spends andpayment methods using .NET Core and Angular.•Designed and developed 2 new product lines for our developer portal adding 5 new public Apis relatedto invoice field extraction and legal storage for invoice receipts.• Took an active role in maintaining code quality by conducting 250+ code reviews over the past year.• Participated in hiring campaigns by conducting 20+ technical interviews for potential candidates. Show less

  • Software Engineer II

    Nov 2022 - Oct 2023

  • Software Engineer I

    Oct 2021 - Oct 2022

  • Machine Learning Intern

    Mar 2021 - Sept 2021
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  Holidu

  Nov 2023 - now

  Software Engineer