Ayush Pal

I build production-grade AI systems that bridge the gap between Generative AI innovation and Enterprise reliability. Currently a Software Engineer at Payoneer, I specialize in designing robust, full-stack automation and high-accuracy AI models—including GAN-based cybersecurity and RAG-driven workflows. My focus is transforming AI prototypes into scalable, reliable products.
My Offerings & Business Relevance:
- Autonomous AI Agents & Intelligent Workflows: I build event-driven systems like InboxboxAI that handle multi-step tasks such as real-time IMAP sync and automated categorization. This reduces operational costs by replacing manual data triage with autonomous execution.
- High-Precision RAG & Suggested Replies: I design Retrieval-Augmented Generation (RAG) pipelines that anchor AI responses to private data like PDFs and emails. This eliminates hallucinations, providing accurate, context-aware answers that users can trust.
- Enterprise Full-Stack Automation: I develop robust frameworks using Java and Playwright to secure critical business flows like Payments and Onboarding. By integrating these into GitHub Actions, I enable companies to deploy daily with zero revenue-impacting bugs.
- AI-Native Cybersecurity: I leverage GAN-based models to harden systems against automated threats, a technique I used to boost DDoS detection accuracy to 99.61%. This ensures high-traffic services remain secure and available under sophisticated attacks.
- Production-Ready Product Delivery: I have a proven record of shipping live products, from my 3rd Place Global Hackathon RFI Assistant to the AskDISHA 2.0 chatbot for IRCTC. This guarantees a transition from concept to a deployed, functional asset.