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Backend | Data Science | NLP

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

CONCURED Limited Feb 2022 – PRESENT

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.

• Recommender System and API maintenance
• Performance Evaluation of the recommendation models
• Modularizing services and encapsulating them as micro-services and API

• Development of Vector based recommendation model using text embeddings to generate user Interest Profile

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

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

• Languages: Python (Expert with 3+ years of experience), Java, Go, JavaScript
• Cloud Infrastructure: GCP
• 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

Mail me at [email protected]
LinkedIn: https://www.linkedin.com/in/sheik-sadi-rohmotullah/