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Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLO
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SheikSadi/README.md

Sheik Sadi Rohmotullah

Electrical and Electronics Engineer with 2 years Back-end Python development experience. Proven ability to develop robust and scalable software. Expertise in MongoDB, ElasticSearch, FastAPI, GCP, and NLP. Experience in recommender systems, data pipelines, and machine learning.

Backend | DevOps | NLP

OPEN-SOURCE PROJECTS

Smart-cropping Images with Saliency Mapping

Crop and bound-box interesting regions of an image (smart cropping) from saliency maps generated with SAM-LSTM-RESNET model (details here)

image

PROFESSIONAL EXPERIENCE

CONCURED Limited Feb 2022 – PRESENT

OVERVIEW

The primary product/service at CONCURED is the Recommendations System and its associated API. The recommendations provided are links to content/articles webpages generated for other content/articles pages. During my tenure at the company in various roles, I developed models for generating recommendations, data pipelines for the pre-processing steps of data crawling/scraping and data wrangling (finding keywords, text embeddings), served recommendations as REST API, and performed DevOps tasks to deploy all of these processes on GCP.

Roles

1. Back-end Developer (Jul 2022 - PRESENT)

Responsibilities
  • Recommender System and API maintenance
  • Performance Evaluation of the recommendation models
  • Modularizing services and encapsulating them as micro-services and API
Projects
  • Development of Vector based recommendation model using text embeddings to generate user Interest Profile

2. Junior Back-end Developer (Jun 2022 - May 2023)

Responsibilities
  • Maintaining Backend processes and the data pipeline**
  • Developing new Backend processes
  • QA, testing and monitoring all backend processes

3. NLP Intern (Feb 2022- May 2022)

Projects:
  • Keyword Extraction and labelling with WikiData using YAKE algorithm and text embeddings (NLP)

TECHNICAL SKILLS

  • Languages: Python (Expert with 3+ years of experience), Java, Go, C/C++
  • Cloud Infrastructure: GCP (Exper with 2 years of experience), AWS
  • Databases: NoSQL: MongoDB, ElasticSearch, Redis; SQL: BigQuery
  • Frameworks: FastAPI, Flask
  • Container Orchestration: Docker, Kubernetes
  • CI/CD: PyTest, GitHub actions
  • Parallelism: AsyncIO
  • Data Science: Pandas, NumPy, SciPy, Scikit-Learn, NLTK
  • OS: Linux, Windows
  • Machine Learning: TensorFlow, PyTorch

Contact

Mail me at biis.saadi@gmail.com
LinkedIn: https://www.linkedin.com/in/sheik-sadi-rohmotullah/

Popular repositories

  1. SAM-LSTM-RESNET SAM-LSTM-RESNET Public

    Crop and bound-box interesting parts of images using saliency maps generated with Attentive Convolutional LSTM Residual Network

    Jupyter Notebook 4 4

  2. NeuroNER NeuroNER Public archive

    Forked from Franck-Dernoncourt/NeuroNER

    Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

    Python

  3. U-2-Net-Demo U-2-Net-Demo Public archive

    Forked from shreyas-bk/u2netdemo

    Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.

    Jupyter Notebook

  4. yake yake Public archive

    Forked from LIAAD/yake

    Single-document unsupervised keyword extraction

    Python

  5. awesome-bangla awesome-bangla Public archive

    Forked from banglakit/awesome-bangla

    A collection of tools, datasets and resources on Bangla computing

  6. pytorch-image-comp-rnn pytorch-image-comp-rnn Public archive

    Forked from 1zb/pytorch-image-comp-rnn

    PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

    Python