Summary
Vijay Mariappan is a Generative AI Engineer with nine years of software engineering experience blending deep learning, cloud-native systems, and low-latency infrastructure. He has shipped scalable gRPC-based services and Kubernetes deployments at Coinbase and now specializes in fine-tuning LLaMA-2 and Mistral models for domain-specific tasks in energy and electrical automation at GE Vernova. As a prompt engineer for Scale AI he honed practical techniques to evaluate and improve generated C/C++/Python/SQL code for security, correctness, and efficiency, and built tooling to grade model outputs. Vijay also explores deploying optimized LLMs and chatbots on constrained edge hardware for real-time industrial use cases, combining hands-on dataset curation with systems integration (SEAPATH, Advantech). Based in Toronto, he pairs systems-level engineering experience from AMD, Dell EMC, and others with a master’s background in networking and telecommunications to bridge model research and production-grade reliability.
9 years of coding experience
18 years of employment as a software developer
Master's Degree Computer Systems Networking and Telecommunications, Master's Degree Computer Systems Networking and Telecommunications at Illinois Institute of Technology
English