نبذة عني
Multilingual AI Annotation Team Lead with hands-on experience across Text, Audio, Image & RLHF pipelines with 9+ years of robust management experience driving high-quality data operations for AI/ML development. Expert in…
Multilingual AI Annotation Team Lead with hands-on experience across Text, Audio, Image & RLHF pipelines with 9+ years of robust management experience driving high-quality data operations for AI/ML development. Expert in leading complex text annotation and audio transcription initiatives spanning 10+ international languages using Labelbox. Proven track record of interacting closely with stakeholders to capture project requirements and deliver high-fidelity operational outcomes. Highly skilled in standardization and quality control, with extensive experience creating comprehensive project guidelines and SOPs that streamline workflows and elevate team performance.
الخبرة
Data Annotation Team Lead — Multilingual AI Operations
Leading a multilingual team of associates working across 10+ foreign languages including Portuguese, Italian, German, Russian, Spanish, Korean, Mandarin, Japanese, Thai and Greek Overseeing end-to-end annotation operations across Text/NLP, Audio/Speech, Image/Video, and RLHF pipelines Managing daily KRAs, quality benchmarks, and delivery timelines for cross-cultural, geographically diverse teams Ensuring inter-annotator agreement (IAA) and annotation accuracy standards across all language verticals Using Excel, Power BI and Tableau to build performance dashboards and generate client-facing MIS reports Leveraging SQL for data extraction, annotation progress tracking, and quality reporting
Sr Team Lead Operations
Managed a 30-member blended process team with consistent achievement of monthly targets Prepared data-driven weekly/monthly client review decks using Excel and SQL reports Reduced onboarding time by streamlining agent hiring and call auditing processes Improved team productivity by 20% Reduced attrition by 15%
Team Lead Operations
Led a team of 40 representatives and managed their KRA and reporting Drove end-to-end HR activities including recruitment, appraisals, performance evaluation, and exits Managed space planning, vendor coordination, and building operations for a 40+ seat floor
المشاريع
Vrinda store sales Analysis
Objective : clothing store wants to create an annual sales report for 2022. So that, Vrinda can understand their customers and grow more sales in 2023.Sample Questions: •Compare the sales and orders using single chart Which month got the highest sales and orders? Who purchased more- men or women in 2022? What are different order status in 2022? List top 10 states contributing to the sales? Relation between age and gender based on numberWhich channel is contributing to maximum sales? Highest selling category?, etc.Sample Insights: U Women are more likely to buy compared to men (~65%)Maharashtra, Karnataka and Uttar Pradesh are the top 3 Adult age group (30-49 yrs) is max contributing (~50%) Amazon, Flipkart and Myntra channels are max contributi Final Conclusion to improve Vrinda store sales:Target women customers of age group (30-49 yrs) living in Maharashtra, Karnataka and Uttar Pradesh by showing ads/offers/coupons available on Amazon, Flipkart and Myntra