Summary
Jai Parakh is a backend-focused AI/ML engineer with 8 years of experience building production-grade systems that process 10M+ daily events and cut infrastructure costs by 30%. He combines hands-on backend architecture and microservices expertise with applied ML—shipping multimodal pipelines for ad analysis and researching autoencoder-based anomaly detection for wind turbines during his MSc at the University of Limerick. Notable wins include slashing query times by 96% in healthcare workflows and deploying scalable serverless systems with 99.9% uptime. Comfortable from raw SCADA time-series to user-facing APIs, he excels at turning costly, brittle pipelines into efficient, maintainable platforms. Outside work he’s shipped SaaS products and freelanced across full-stack projects, bringing a pragmatic, product-minded approach to research and engineering.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Jaypee University of Information Technology
Master of Science - MS, Artificial Intelligence and Machine Learning, Master of Science - MS, Artificial Intelligence and Machine Learning at University of Limerick