Summary
Prashant Verma is an AI Architect and generational-AI specialist with roughly a decade of experience building production-grade computer vision and GenAI systems for energy and industrial clients. He has led end-to-end architectures that fuse LLMs and VLMs, engineered agentic RAG pipelines that cut latency and cloud costs substantially, and boosted OCR accuracy on degraded engineering drawings to over 90% through tailored transformer and adapter solutions. His hands-on background spans YOLOv8 defect detection at edge devices, ResNet/ArcFace face recognition, GAN-based 3D up-sampling, and fine-tuning Stable Diffusion for domain-specific image recovery. Comfortable moving between research and deployment, he’s delivered microservices and ETL orchestration for real-time predictive maintenance at scale and integrated Python inference with RapidMiner and Jetson hardware. Based in Al Khobar, he combines enterprise-grade system design with practical lab-proven experimentation, and holds certifications in ethical hacking, Python, and data visualization. An entrepreneurial streak (founder of a seed-funded local startup) rounds out his profile, signaling product sensibility alongside deep technical craft.
8 years of coding experience
10 years of employment as a software developer
Master of Technology, Computer Engineering, Master of Technology, Computer Engineering at Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal
Master of Technology, Data Science, Master of Technology, Data Science at Indian Institute of Technology, Patna
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Kanpur University, India
English, Hindi, Spanish