Miruddula Kalimuthu

Sr Product Compliance Associate @ AMAZON | CSM | Project Management | Compliance

Role
Sr Product Compliance Associate at Amazon
Location
Bengaluru, KA, IN
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Miruddula Kalimuthu

Over the last + I have built and scaled …

Experience

  1. Sr Product Compliance Associate

    Amazon

    Jul 2020 — Present · Bengaluru, IN

    Designed and implemented the Entity Prediction Service (EPS) 2.0, building scalable ML pipelines using AI Workbench and algorithms, achieving over 99% model accuracy and expanding prediction coverage to 100% of ASINs, thereby removing manual classification bottlenecks and enhancing decision-making speed- Developed and deployed the Query Audit Framework to improve audit inflow quality by 13%. Facilitated iterative sprint cycles with backlog refinement, sprint planning, and daily stand-ups across cross-functional teams, driving continuous improvements in query generation and team training, resulting in consistent 10-point scorecard improvements- Led the Defect Prioritization Service (DPS) implementation, automating inflow generation via keyword ingestion and eliminating manual query writing, cutting manual effort by 25 minutes per rule. Organized sprint reviews and stakeholder demos to prioritize automation rules, boosting false negative detection accuracy by 58% and streamlining website audit processes- Directed the Class Rationale Quality Initiative to refine True Positive samples in collaboration with domain experts, enhancing manual classification accuracy and standardizing knowledge sharing across global teams-Developed the Rule to ASIN Pre-Screener, an NLP-based automation tool that parses rule descriptions for True Positive ASIN flagging via keyword and semantic matching, cutting manual rule reading time and cognitive load by over 30%, and accelerating batch classification accuracy- Currently working on the Similarity Cluster Finder tool using NLP embeddings (BERT, Sentence Transformers) and clustering algorithms (K-Means, DBSCAN) to group semantically similar ASINs, improving audit efficiency and reducing manual validation workload through bulk cluster verification.

Education

  • Alvernia Matriculation Higher Secondary School, Coimbatore

    Computer Science

    1997 — 2012

  • Dr.Mahalingam College of Engineering and Technology

    Bachelor of Engineering - BE, Computer Science

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Miruddula Kalimuthu — Sr Product Compliance Associate at Amazon in Bengaluru, KA, IN | Unifers