Parivesh Choudhary — AI Researcher

With 20+ years in software engineering and R&D, I design and build high-impact AI systems at the intersection of machine learning, large-scale architecture, and agentic intelligence. My current focus is on autonomous agents, multimodal LLMs/VLMs, and systems that learn, adapt, and optimize across complex domains like chip design and software development. At Synopsys, I serve as a Senior Architect in the GenAI EEG group, where I lead the design and technical development of AI agents that accelerate both the EDA lifecycle and internal SDLC productivity. These include: • Autonomous agents for code review, code completion, and bug fixing • Vision-Language-based RAG systems to process and reason over design specifications • End-to-end pipelines for translating English specifications into SystemVerilog assertions via LLM-based machine translation Previously, I architected: • Intelligent Test Selection – a microservices-based system for RTL regression test optimization, leveraging change-aware heuristics to maximize coverage with minimal cost. • Dragonfly – a dynamic job dependency resolution and scheduling platform that doubled resource utilization across internal compute environments. My work spans building reusable agentic architectures, scalable inference systems, and deep neural integrations for applied use cases. I thrive in environments that demand innovation, deep technical ownership, and cross-domain problem solving. Now, I’m expanding my focus to autonomous robotics, reinforcement learning, and physical AI — aiming to bridge software intelligence with embodied systems.

Stackforce AI infers this person is a SaaS expert specializing in AI-driven solutions for enterprise applications.

Location: Sunnyvale, California, United States

Experience: 20 yrs 11 mos