Shashank Ashtikar

I'm a software engineer and AI systems architect with over a decade of experience building the kind of distributed systems where performance, reliability, and correctness aren't negotiable — highly scalable, fault-tolerant, concurrent, high-throughput infrastructure that has to work under real production load. I've been specializing in this space since 2014.

I recently founded Momentum AI, a privacy-first SDLC automation platform rethinking how modern software gets built. The work spans AI-driven development lifecycle automation, secure and privacy-first inference pipelines, scalable dev-container orchestration, and high-performance AI infrastructure for engineering teams.

My work sits at the intersection of distributed systems engineering, AI/ML infrastructure, developer tooling, and privacy-preserving architecture. I'm especially interested in local-first and hybrid AI systems, specialized and fine-tuned coding models, scalable agent architectures, and the broader question of how to build infrastructure that enables intelligence without surrendering control.

My conviction is that the future of AI in engineering won't be won by generic copilots. It will be won by deeply integrated, secure, context-aware systems that amplify developer productivity without compromising privacy or architectural integrity — and that the teams building toward that future need to take infrastructure, evaluation, and agent design as seriously as the models themselves.