Summary
Vinit Payal is a Senior Data Engineer and AI Infrastructure Lead with 10 years of experience building and scaling data-intensive SaaS platforms for startups. He currently leads AI and data infrastructure for a global performing arts intelligence platform, architecting LLM-powered extraction, multilingual semantic matching across 30+ scripts, and cost-optimized Airflow-on-EKS pipelines. He’s skilled across the stack—Python, Node.js, Kubernetes, Qdrant, MySQL/RDS and LLMs like Gemini/Ollama—and has tuned production systems to run 500+ parallel Airflow tasks with spot autoscaling and HNSW index optimizations. Previously he built core data and integration infrastructure at Tribes.AI, owning everything from API integrations to product-facing analytics and DevOps. A pragmatic engineering leader and open-source-minded contributor to the Airflow ecosystem, he combines hands-on implementation with roadmap ownership and small-team mentoring. Based in Bengaluru, he brings startup grit plus deep operational know-how in deploying ML and retrieval systems to production.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech Information Technology, Bachelor of Technology - BTech Information Technology at National Institute of Technology Raipur
English, Hindi