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Mohammad Mohtashim K. Cloud, Data Engineering and AI Platforms

My name is Mohammad Mohtashim K. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: SQL, pandas, AWS Glue, Kubernetes, Python, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Azure Spark-Cluster Job, Real-Time Spark Socket Streaming, Tool for Langchain Main Repo: Google Scholar, Reddit Spark Pipeline, Real-Time-CDC-Streaming Platform, etc.. I am based in Lahore, Pakistan. I've successfully completed 13 projects while developing at Softaims.

I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.

I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.

My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.

Main technologies

  • Cloud, Data Engineering and AI Platforms

    3 years

  • SQL

    2 Years

  • pandas

    1 Year

  • AWS Glue

    2 Years

Additional skills

  • SQL
  • pandas
  • AWS Glue
  • Kubernetes
  • Python
  • Docker
  • Apache Kafka
  • PySpark
  • Microsoft Azure
  • Hive
  • AWS IoT Core
  • NoSQL Database
  • Data Warehousing & ETL Software
  • AWS Development
  • Artificial Intelligence
  • Machine Learning

Direct hire

Potentially possible

Previous Company

Systems Limited

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Experience Highlights

Azure Spark-Cluster Job

I've deployed a Spark cluster on Azure Virtual Machines to efficiently process Spark jobs in batches. This setup involves configuring multiple Azure VMs with the necessary software components to form a distributed computing environment. Each VM is equipped with Spark, Hadoop, and other relevant dependencies to enable parallel processing of data.

Real-Time Spark Socket Streaming

Designed a real-time pipeline that ingests reviews from Yelp, processes them using Spark Streaming, and performs sentiment analysis with GPT-3. The processed data is then pushed to Kafka and subsequently stored in Elasticsearch.

Tool for Langchain Main Repo: Google Scholar

Engineered the following Open-Source Google Scholar AI Tool utilized by 1000+ developers.

Reddit Spark Pipeline

Engineered a real-time data pipeline in Spark to ingest data from Reddit. Deployed the pipeline using Airflow, with data storage managed in Apache Iceberg.

Real-Time-CDC-Streaming Platform

Using debezium we captured real-time CDC payloads from PostgresSQL.

Education

  • Lahore University of Management Sciences

    Bachelor of Science (BS) in Computer science and Management Science

Languages

  • English
  • Urdu

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