Chandrika A

At Myntra, I built and tested production machine learning systems during a six-month Data Science internship. I migrated two ML services to Python 3.12, resolved import conflicts, and contributed runbook fixes.

I designed a memory-efficient per-request inference logging schema for an ML ranker, supporting experiment analysis, A/B comparison, regression debugging, and drift detection. I also created static-analysis tooling across 400+ ML workflow and service repositories to extract lineage and configuration metadata for a GCP migration.

I developed a daily Databricks-to-Aerospike model-score pipeline using version-aware composite keys and configurable TTL. I also onboarded a GPU Triton inference service to CI/CD, reducing manual onboarding from several hours to under ten minutes.

I'm a Computer Science graduate from PES University with a strong foundation in Python, Java, C++, data structures, algorithms, machine learning, and deep learning. My academic projects include Python/MySQL movie booking and C++/MySQL quiz-management systems.