Sarosh Hussain builds AI systems that work in production, not just demos.
He leads technical delivery at Pendoah after serving as Director at PwC and Credera, and SVP Technology at Perry Homes. His track record includes $2M in annual revenue from Lawli.ai, a legal platform leveraging GPT-4 and Azure ML. At Perry Homes, he drove 163% revenue growth over five years through strategic cloud migration and AI integration. He architected fraud detection systems that saved $15M annually for a $30B insurance company.
Sarosh oversees all Custom AI Development at Pendoah, including Machine Learning & Deep Learning systems, Natural Language Processing for document analysis, and Computer Vision for quality inspection. He designed the MLOps & AI Operations framework that ensures models stay accurate after deployment through Model Monitoring & Drift Detection and Automated Retraining & Versioning.
He built and led AI/ML teams of 20+ members, reducing operational costs by 25% and increasing revenue by 15% for a $50M biotech through SaaS transformation. For a $150B energy conglomerate, he deployed predictive maintenance solutions that minimized equipment downtime. For a $90B logistics company, he led fleet optimization initiatives that streamlined operations and cut costs.
Sarosh focuses on AI Infrastructure Scaling and CI/CD for Machine Learning to ensure systems handle production workloads without breaking. His approach emphasizes reliability, compliance, and measurable business impact.
He holds an MS in Artificial Intelligence (in progress), an MBA in International Business, and a BS in Computer Science, all from University of Houston-Victoria.
Education: MS AI (in progress), MBA International Business, BS Computer Science, University of Houston-Victoria
