Infrastructure engineers who have operated AI systems at scale and decided to make it easier for everyone else.
Aravind brings deep expertise in distributed systems and ML infrastructure. Before founding Latentforce, he led inference platform engineering at a large-scale AI research organization, where he oversaw the deployment of petabyte-scale model serving systems. He holds advanced degrees in computer science with a focus on distributed computing.
Marcus leads Latentforce's core inference engine team, specializing in GPU kernel optimization, quantization research, and latency-reduction techniques for large language models. He previously built high-throughput serving infrastructure for one of the world's largest AI labs, achieving sub-50ms median latency at billion-query-per-day scale.
Priya drives Latentforce's enterprise go-to-market strategy and key customer relationships. She brings experience from enterprise infrastructure sales at both early-stage startups and established cloud vendors, with a track record of building technical partnerships that translate into long-term platform adoption at Fortune 500 companies.
We are growing our engineering and partnerships teams. If you are passionate about AI infrastructure and production systems, we want to hear from you.