Summary
Akash James is a hands-on AI architect and founder with nine years of experience building production-grade computer vision and multimodal GenAI systems that move from scrappy MVPs to revenue-driving platforms. Currently leading AI at a stealth video-first startup, he specializes in GPU-accelerated inference, embedded/edge deployments (DeepStream, TensorRT, Jetson), and agentic RAG with graph-native retrieval. A former UC Berkeley research scholar and NVIDIA Jetson ambassador, he blends rigorous research with pragmatic engineering—optimizing networks for efficiency (fp16/int8) and shipping low-latency pipelines (FastAPI, SSE, Docker, parallelism). He also mentors hackathons, contributes to open source, and runs a personal assistant project (Veronica), showing a knack for turning experimental ideas into useful products CFOs respect. An uncommon strength: he surfaces business requirements before PRDs exist, aligning architecture tightly to user and commercial outcomes.
9 years of coding experience
7 years of employment as a software developer
Research Scholar Artificial Intelligence, Research Scholar Artificial Intelligence at University of California, Berkeley
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at REVA University
English, Hindi