Hi, I'm Vansh Gilhotra - Full Stack Engineer at Zenbase Technologies
I am driven by the challenge of building complex AI systems from the ground up. I thrive in high-velocity startup environments where I can architect scalable backend infrastructure and lead technical teams.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led development of production-grade AI calling infrastructure supporting over 10,000 concurrent conversations.
Currently focuses on building scalable AI agent systems and optimizing distributed backend architectures.
Can help others by designing event-driven architectures and implementing high-efficiency CI/CD deployment pipelines.
🚀 Career trajectory
Open Source Contributor
Established foundational technical reputation through active participation in scheduling infrastructure platforms.
✦ Community Driven
✦ Public Coding
Founding & Full Stack Engineer
Transitioned into startup leadership, managing technical teams while navigating the full product lifecycle.
✦ Startup Operator
✦ Team Lead
💪🏻 Superpowers
Systems Architect
Engineering robust infrastructure for massive scale.
✦ Architected event-driven workflows handling 10,000+ concurrent AI conversations.
✦ Reduced deployment cycle times by 60% through custom CI/CD automation.
AI Product Catalyst
Translating complex AI research into functional end-user value.
✦ Built multi-layered memory systems achieving 94% context accuracy.
✦ Developed custom agent tooling with sub-500ms response latency.
Open Source Advocate
Contributing to the global engineering community ecosystem.
✦ Contributed technical improvements to core scheduling infrastructure platforms.
✦ Recognized through competitive open-source bounty program mandates.
I'm excited about
✦ Exploring co-founding opportunities with visionaries in the AI infrastructure space.
✦ Connecting with peers to exchange insights on distributed systems design patterns.
✦ Discovering early-stage startups that require rapid product development from the ground up.
I can help with
✦ Providing architectural reviews for distributed systems and AI agent workflows.
✦ Advising on building CI/CD pipelines to streamline deployment reliability for teams.
✦ Sharing best practices for achieving sub-500ms latency in LLM-driven applications.
I would love your help on
✦ Gaining mentorship on scaling engineering teams during hyper-growth phases.
✦ Exploring strategic approaches to market positioning for 0-to-1 AI products.
✦ Learning effective frameworks for balancing technical debt with rapid feature iteration.