Paramjeet Singh

Product Manager

Chennai, Tamil Nadu, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Improved AI/ML quality by 7-12% through evaluation redesign.
Reduced post-release defects by 40% via data-backed quality gates.
Standardized workflows across 50+ processes, improving accuracy by 20%.

Stackforce AI infers this person is a Product Manager with a strong focus on AI/ML quality and data-driven decision-making.

Contact

Skills

Core Skills

Product ManagementData AnalysisOperations ManagementProduct Operations

Other Skills

AI/ML evaluationAgile MethodologiesAnalytical SkillsAnalyticsApplied Machine LearningAttention to DetailBacklog ManagementBuilding Effective RelationshipsBusinessBusiness AcumenBusiness AnalysisBusiness Analysis Planning & MonitoringBusiness DocumentationBusiness RequirementsClient Presentation

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Amazon

2 roles

Quality Auditor

Promoted

Apr 2025 – Present · 1 yr 2 mos · On-site

Product Manager – Product Quality & Operations
Owned AI/ML evaluation and quality workflows, improving model accuracy by 7–12% through experiments, dataset redesign, and metric-driven validation.
Translated ambiguous system behaviour into clear requirements, PRDs, and acceptance criteria, partnering with Product, Engineering, and Data Science.
Reduced post-release defects by 40% by introducing data-backed quality gates, SxS testing, and behavioural analysis.
Standardized schemas and workflows across 50+ global processes, increasing evaluator accuracy by 20% and reducing rework.
Resolved cross-system data inconsistencies, saving 450+ hours across international teams.

AI/ML evaluationquality workflowsdata-backed quality gatescross-system data consistencyProduct ManagementData Analysis

ML Data Associate - Operations

Aug 2020 – Present · 5 yrs 10 mos · On-site

Product Operations Associate
Analyzed workflow data and system outputs to identify quality gaps, edge cases, and operational bottlenecks.
Supported product discovery by providing SQL-driven insights, error segmentation, and trend analysis.
Partnered with stakeholders to map AS-IS → TO-BE workflows and improve delivery reliability.
Contributed to UAT, test case design, and release validation for AI-driven systems.

SQL-driven insightserror segmentationtrend analysisUATtest case designData Analysis+1