Anusha Pundir

About

AI/ML engineer focused on applied AI and building end-to-end SaaS products. Experienced with integrating machine learning and generative AI into secure, scalable web applications, including LLM-based workflows and RAG systems, and converting complex AI pipelines into reliable, user-friendly product experiences.

Experience

• AI Engineering Intern · JettyAI03-01-2026

  • Architecting a 3-layer hybrid content moderation pipeline for dating platforms, balancing accuracy, latency, and cost across text and image moderation. • Designed Layer 1 using classification models, moderation APIs, keyword matching, and caching to filter high-volume, low-risk content early; designed Layer 2 as an LLM-driven contextual decisioning layer. • Built a human-in-the-loop Layer 3 workflow with structured contextual case reports, routing only ~8–10% of ambiguous cases to human review and reducing compute cost across the pipeline. • Developed an end-to-end working prototype and presented a live demo directly to CTO and CEO stakeholders to validate architecture and align on production rollout. • Building an automated GTM AI tool to outreach B2B businesses with AI solutions, using LLM-driven personalization and automated prospect research to accelerate the sales pipeline.

Education

• Bachelor of Technology in Computer Science (Specialization in Artificial Intelligence)Bachelor of Technology (B.Tech), Computer Science (Specialization in Artificial Intelligence)

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