Anubhav - AI Generalist Contributor — LLaMA Model Training

Demonstrated experience with Multitasking & prioritisation.

Demonstrated experience with Attention to detail.

Demonstrated experience with Remote deadline management.

Demonstrated experience with Independent self-management.

Demonstrated experience with Problem-solving.

Contributed high-quality real-world domain input and structured feedback to Meta AI's LLaMA model training pipeline, directly shaping how the model learns, reasons, and responds across general knowledge domains.. Delivered nuanced written evaluations of model outputs, identifying errors in reasoning, factual recall, tone, and coherence — feeding into reinforcement learning feedback loops to improve model performance.. Collaborated with cross-functional remote teams to ensure diverse, accurate, and consistent data input aligned with project quality standards and evolving requirements.. Maintained meticulous attention to detail across high volumes of documentation and data entry tasks, consistently meeting accuracy and speed benchmarks.

Managed end-to-end Amazon Sponsored Ads campaigns (Sponsored Products, Brands, Display) for multiple e-commerce clients, achieving consistent ACoS reduction while maintaining revenue growth targets.. Conducted comprehensive account audits, documenting process inefficiencies and campaign structure gaps — then implementing restructured architecture that improved TACoS across managed client accounts.. Performed in-depth keyword research and competitor analysis to identify high-converting search terms, scaling top performers and negating irrelevant traffic to protect ad spend.. Built and delivered weekly and monthly performance reports and process documentation with actionable insights, maintaining clear, structured communication with clients on strategy, results, and optimisation priorities — the same disciplined reporting rhythm required for CRM and sales-operations stakeholders.. Planned and executed seasonal campaign strategies (BFCM, Prime Day) with surge budgets, custom bid adjustments, and promotional placements, driving above-average conversion rates during peak periods.