Arslan Saleem
Munich, Bavaria, Germany
Summary
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RockstarArslan Saleem is a Senior iOS Engineer with a decade of experience building mobile products and leading engineering teams across Pakistani and international firms. He has progressed from hands-on iOS development to lead and senior roles at Elementary Logics, Beyond Apps Group, and now Gathern, consistently owning end-to-end delivery and mentoring engineers. Beyond mobile, Arslan contributes to open-source data tooling—helping enhance pandas-ai with dataframe persistence, SQL sanitization, multi-database compatibility, and time-based dimensions—demonstrating strong backend and data engineering skills. His cross-functional fluency spans client-facing iOS UX to backend data pipelines, making him effective at shipping integrated features that bridge app and data layers. Based in Punjab, Pakistan, he pairs a BS(CS) foundation with practical leadership in fast-moving product teams. Colleagues describe him as a pragmatic engineer who surfaces non-obvious data considerations early in the design process to reduce rework.
10 years of coding experience
Github Skills (13)
pandas10
sql10
python10
database-design10
data-engineering10
data-analysis10
mysql9
pytest9
postgresql9
unit-test9
unit-testing9
sqlite8
duckdb8
Programming languages (9)
Github contributions (5)
sinaptik-ai/pandas-ai
Aug 2023 - Mar 2025
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Role in this project:
Back-end & Data Engineer
Back-end & Data EngineerContributions:7 releases, 98 reviews, 174 PRs in 1 year 7 months
Contributions summary:Arslan contributed significantly to enhancing the data analysis capabilities of the pandas-ai project. They were involved in implementing the functionality to save and load dataframes for later use within the application. Furthermore, their work extended to creating improved SQL query sanitization and also focused on ensuring compatibility for various database connections, including PostgreSQL, MySQL, and SQLite. The user also improved data analysis by adding support for the creation of time-based dimensions.
aicsvdatadata-analysisdata-science
sinaptik-ai/panda-etl
Sep 2024 - Feb 2025
Contributions:1 release, 7 reviews, 46 PRs in 4 months
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