Vishal Krishnan

I am a Computer Science graduate focused on deploying computer vision and deep learning solutions for automation, visual analytics, and video understanding. I have built production-grade, real-time pipelines that integrate with mobile, web APIs, and dashboards.

At Codeboard Technology I designed configurable CV pipelines for restaurants and drive-throughs, evaluated inference hardware, and implemented modular multi-threaded systems with hot-update capabilities. I also leveraged LLMs and detection models to extract structured metadata and business insights.

At Dhvani AI I led development of inspection systems and real-time defect detection across manufacturing lines, integrating PLC automation via Modbus and managing Docker-based deployments for cross-site scalability. I researched video summarization using vision-language models, VectorRAG, and transformer encoders to enable context-aware summarization and QA.

I prioritize reliable, scalable deployments and cross-team collaboration to deliver measurable automation and analytics value. I enjoy adapting models to domain specifics and building user-friendly training interfaces and event-driven integrations for production systems.