I'm a Software Engineer with a background in backend development, data engineering, and open-source AI infrastructure. I recently worked as a Data Engineering Intern at Poshmark, where I built and optimized large-scale data pipelines using Apache Spark, Airflow, AWS, and Redshift. Outside of work, I've been heavily involved in open source. Over the past few months, I've had multiple pull requests merged into Mastra, an AI agent framework, where I've worked on fixing production bugs, improving performance, and enhancing developer experience. Contributing to a fast-moving AI infrastructure project has taught me how to read large codebases, collaborate with maintainers across different time zones, and ship high-quality code. GitHub Contributions: _Website not available. Sign in: https://www.twine.net/signup_

Clement Antony

I'm a Software Engineer with a background in backend development, data engineering, and open-source AI infrastructure. I recently worked as a Data Engineering Intern at Poshmark, where I built and optimized large-scale data pipelines using Apache Spark, Airflow, AWS, and Redshift. Outside of work, I've been heavily involved in open source. Over the past few months, I've had multiple pull requests merged into Mastra, an AI agent framework, where I've worked on fixing production bugs, improving performance, and enhancing developer experience. Contributing to a fast-moving AI infrastructure project has taught me how to read large codebases, collaborate with maintainers across different time zones, and ship high-quality code. GitHub Contributions: _Website not available. Sign in: https://www.twine.net/signup_

Available to hire

I’m a Software Engineer with a background in backend development, data engineering, and open-source AI infrastructure. I recently worked as a Data Engineering Intern at Poshmark, where I built and optimized large-scale data pipelines using Apache Spark, Airflow, AWS, and Redshift.

Outside of work, I’ve been heavily involved in open source. Over the past few months, I’ve had multiple pull requests merged into Mastra, an AI agent framework, where I’ve worked on fixing production bugs, improving performance, and enhancing developer experience. Contributing to a fast-moving AI infrastructure project has taught me how to read large codebases, collaborate with maintainers across different time zones, and ship high-quality code.

GitHub Contributions: Website not available. Sign in: https://www.twine.net/signup

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Experience Level

Expert
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Expert
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Expert
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Intermediate
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Language

Javanese
Advanced

Work Experience

Data Engineer Intern at Poshmark
January 1, 2026 - July 1, 2026
Engineered an automated Amazon Redshift cleanup pipeline using query history and retention policies to identify stale tables, delivering $12K+ in monthly infrastructure cost savings. Optimized Redshift workload management by redesigning WLM queues using Concurrency Scaling workload analysis, validated via staging load tests, and projected $2.8K+/month in cost savings. Built and maintained Apache Airflow DAGs to automate reporting, warehouse maintenance, and scheduled data workflows. Developed an automated Redshift access revocation workflow by integrating Airflow with JIRA APIs to enforce access control across 6+ Redshift clusters. Migrated configuration from DynamoDB to YAML-based files to simplify deployments. Resolved production issues involving Jenkins executor starvation, Redshift query performance bottlenecks, and Spark ETL synchronization bugs through root-cause analysis.
SDE Intern at Brens Technologies
March 1, 2025 - May 1, 2025
Developed and optimized scalable Spring Boot microservices, reducing API response latency by 20% through performance tuning and efficient database interactions. Designed and implemented secure RESTful APIs with JWT and OAuth2 authentication to enable role-based access for 100K+ users. Improved data retrieval efficiency by optimizing SQL queries using Spring Data JPA. Increased application quality by implementing unit and integration tests with JUnit and Mockito, achieving 90% test coverage and reducing regression defects by 25%. Containerized and deployed microservices with Docker to ensure consistent environments across development and production.

Education

B.TECH in Computer Science and Engineering at SRM University
September 1, 2022 - May 1, 2026
B.TECH in Computer Science and Engineering at SRM University
September 1, 2022 - May 1, 2026

Qualifications

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Industry Experience

Software & Internet, Computers & Electronics, Professional Services