Aman Parmar is a Data Engineer with 8 years of experience who blends software engineering, database internals, and AI infrastructure to build resilient, high-performance data platforms. Currently at Roblox, he focuses on governance and observability (lineage, data quality, telemetry) and is building internal GenAI tooling like agents and RAG systems. Previously at BCG he drove large-scale optimizations—cutting API latencies by 95% and automating feature engineering to shrink time-to-insight from days to minutes—while implementing role-based DB access and CI/CD for complex analytics stacks. He favors systems-level solutions over ad-hoc scripts, applying DevOps rigor to create self-healing, cost-efficient compute layers rather than just ETL pipelines. An active coder and ML experimenter, his GitHub contributions include practical ML models and algorithmic implementations that reflect a hands-on approach to both research and production problems.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology Computer Science, Bachelor of Technology Computer Science at Jaypee Institute Of Information Technology
Add any Program in any language you like or add a hello world Program ❣️ if you like give us :star:
Role in this project:
Data Scientist
Contributions:29 commits, 10 PRs, 2 comments in 2 days
Contributions summary:Aman contributed to the repository by implementing various machine learning and data analysis scripts using Python. Their work included implementing the Bresenham line drawing algorithm, creating a Koch curve, and building a local-side server and client for networking. Furthermore, the user demonstrated proficiency in data analysis by implementing linear, polynomial, and random forest regression models, as well as a decision tree classifier.
Contributions:13 commits, 5 PRs, 10 pushes in 2 years 2 months
aimachine-learningpythonregressionpython3
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